Link - http://socialintelligence.labinthewild.org/mite/
Date - 7th July 2024
Your score is 29 out of 36.
Your score is equal or better than 74% of all participants.
Does this test work equally well for all people around the world? This test was developed in Great Britain and the images you saw were taken from British magazines in 1990's. Unsurprisingly, the test doesn't work perfectly for people who are not native speakers of English or for people who come from cultures that are very different from Britain's.
Should you worry if you got a low score? No. Your screen lighting level, mood, fatigue and many other factors might have affected your score. The results of this test are useful when they are averaged across many people, but they can be inaccurate for any individual person.
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We seek someone who can own & manage Anveshan's website and app business.
With a lean in-house team and a fantastic set of industry experts/consultants, I can vouch for the depth and breadth of knowledge one will get by running this online CPG business. You will lead business growth, monthly PnL, marketing initiatives (performance and brand), monthly goals and budgeting, and retention strategies.
We are looking for someone with at least 2 years of experience in the e-commerce space who comes with an entrepreneurial mindset, strong marketing fundamentals, a data-driven approach, and a keen understanding of consumer psychology.
This is a full-time work-from-office role at our Gurugram office. If you are interested, please email me at aayushi@anveshan.farm or
careers@anveshan.farm.
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Suman Mishra - MD & CEO Mahindra
We are seeking a highly organized, adaptable and proactive person to join my office as EA to MD&CEO. They will play a key role to further Mahindra Last Mile Mobility's aspiration to electrify the last mile of India.
In addition to structuring CEO duties (e.g., reviews, presentations etc.) they should be able to
independently drive critical projects working collaboratively with various functions. Automotive industry
experience preferred.
Looking for
Strong executive presence.
Data driven approach and analytical skills Effective business presentation skills High EQ - Ability to collaborate with and
influence teams.
Please submit your resume to meena.anjali@mahindra.com
Executive Presence: Confident and professional demeanor.
I am writing to express my interest in the Executive Assistant to MD & CEO position at Mahindra Last Mile Mobility. With 7+ years of a diverse experince in strategic prioritization, project management, and data-driven analysis, I am eager to support Ms. Suman Mishra’s vision to electrify the last mile of India.
Strategic Prioritization: My experience in managing complex demands, from leading strategic initiatives at Delhivery to orchestrating business operations at Amazon, has honed my ability to prioritize tasks effectively to achieve impactful outcomes. I
Results-Oriented: As demonstrated in my role at Delhivery, where I significantly increased revenue and improved operational efficiency, I am dedicated to delivering results that align with organizational goals.
High Emotional Intelligence: Collaborating with diverse teams and influencing stakeholders have been integral to my success. My ability to understand and manage emotions ensures productive interactions and effective teamwork.
Executive Presence: My professional demeanor and confident communication skills have been pivotal in leading presentations and negotiations, making me well-suited to represent the MD & CEO’s office.
Data-Driven Analysis: My strong analytical skills, developed through roles that required detailed data analysis and strategic decision-making, will support data-driven approaches to problem-solving and project management.
With a robust background in stakeholder management, supply chain analytics, and strategic business development, I am confident in my ability to contribute effectively to Mahindra Last Mile Mobility’s ambitious goals. I am excited about the opportunity to bring my skills and passion to support Ms. Mishra and the team.
Thank you for considering my application. I look forward to the possibility of discussing how my experiences and skills can contribute to the continued success of Mahindra Last Mile Mobility.
Strategic Prioritization: My experience managing complex demands, from leading strategic initiatives at Delhivery to orchestrating operations at Amazon, has honed my ability to prioritize tasks for impactful outcomes. My framework is mainly infused by my chess learning—focusing on first principles, considering all perspectives, and recovering quickly from mistakes—which keeps my strategic thinking grounded and effective.
Results-Oriented: In my role at Delhivery, where I significantly increased revenue and improved operational efficiency, I demonstrated a strong dedication to delivering results aligned with organizational goals. My approach involves thoroughly planning what success looks like, identifying early indicators of success, and continuously analyzing any negative outcomes by going back to first principles.
High Emotional Intelligence: Collaborating with diverse teams and influencing stakeholders have been integral to my success. My ability to understand and manage emotions ensures productive interactions and effective teamwork. My framework is inspired by the understanding that every action stems from intent, capability, and past experiences, and that everyone is trying to do their best.
Executive Presence: My professional demeanor and confident communication skills have been pivotal in leading presentations and negotiations, making me well-suited to represent the MD & CEO’s office. Having worked on 100+ negotiations, primarily in the new-age startup landscape, I have proven my capability in this area. Additionally, as an avid reader, my curiosity for any subject is as high as a 13-year-old's fascination with the magic of Hogwarts.
Data-Driven Analysis: My strong analytical skills, honed through roles requiring detailed data analysis and strategic decision-making, support data-driven approaches to problem-solving and project management. I validate gut feelings with first principles, ensure empirical analysis is unbiased, and seek exhaustive answers through extensive reading. Ultimately, I believe that if an insight can't be compressed into a short story, it isn't complete.
Dear Ms. Anjali,
I am writing to express my interest in the Executive Assistant to MD & CEO position at Mahindra Last Mile Mobility. With 7+ years of diverse experience in strategic prioritization, project management, and data-driven analysis, I am eager to support Ms. Suman Mishra’s vision to electrify the last mile of India.
Strategic Prioritization: My experience managing complex demands at Delhivery and Amazon has honed my ability to prioritize tasks for impactful outcomes. My framework, infused by chess principles—first principles, multiple perspectives, and quick recovery—keeps my strategic thinking grounded and effective.
Results-Oriented: At Delhivery, I significantly increased revenue and improved operational efficiency by planning for success, identifying early indicators, and analyzing outcomes with first principles.
High Emotional Intelligence: Collaborating with diverse teams and influencing stakeholders have been integral to my success. I understand that every action stems from intent, capability, and past experiences, ensuring productive interactions and teamwork.
Executive Presence: My professional demeanor and confident communication skills have been pivotal in leading presentations and negotiations. With 100+ successful negotiations in the startup landscape, I have proven my capability. Additionally, my curiosity and avid reading keep me continuously learning.
Data-Driven Analysis: My strong analytical skills support data-driven problem-solving and project management. I validate gut feelings with first principles, ensure empirical analysis is unbiased, and seek exhaustive answers through extensive reading. If an insight can't be compressed into a short story, it isn't complete.
With a robust background in stakeholder management, supply chain analytics, and strategic business development, I am confident in my ability to contribute effectively to Mahindra Last Mile Mobility’s ambitious goals while learning invaluable skills from Ms. Mishra to take my career to the next level.
Thank you for considering my application. I look forward to discussing how my experiences and skills can contribute to the continued success of Mahindra Last Mile Mobility.
Final Draft - Dear Ms. Anjali,
I am writing to express my interest in the Executive Assistant to MD & CEO position at Mahindra Last Mile Mobility. With 7+ years of diverse experience in strategic prioritization, project management, and data-driven analysis, I am eager to support Ms. Suman Mishra’s vision to electrify the last mile of India.
Strategic Prioritization: My experience managing complex demands at Delhivery and Amazon has honed my ability to prioritize tasks for impactful outcomes. My framework, infused by chess principles—first principles, multiple perspectives, and quick recovery—keeps my strategic thinking grounded and effective.
Results-Oriented: At Delhivery, I significantly increased revenue and improved operational efficiency by planning for success, identifying early indicators, and analyzing outcomes with first principles.
High Emotional Intelligence: Collaborating with diverse teams and influencing stakeholders have been integral to my success. I understand that every action stems from intent, capability, and past experiences, ensuring productive interactions and teamwork.
Executive Presence: My professional demeanor and confident communication skills have been pivotal in leading presentations and negotiations. With 100+ successful negotiations in the startup landscape, I have proven my capability. Additionally, my curiosity and avid reading keep me continuously learning.
Data-Driven Analysis: My strong analytical skills support data-driven problem-solving and project management. I validate gut feelings with first principles, ensure empirical analysis is unbiased, and seek exhaustive answers through extensive reading. If an insight can't be compressed into a short story, it isn't complete.
With a robust background in stakeholder management, supply chain analytics, and strategic business development, I am confident in my ability to contribute effectively to Mahindra Last Mile Mobility’s ambitious goals while learning invaluable skills from Ms. Mishra to take my career to the next level.
Thank you for considering my application. I look forward to discussing how my experiences and skills can contribute to the continued success of Mahindra Last Mile Mobility.
You are a Sales leader in Clear which simplifies finance for business with connected finance ecosystem is enabling new paths to efficiency and profitability while ensuring 100% compliance. Experience the most advanced automations that improve cash flow and working capital management in real time giving you the peace of mind you deserve. While the company was selling point solutions like INDIVIDUAL PRODUCTS
GST
Accounts Payable
MaxITC
E-Invoicing & E-Way Bill
TDS
Invoice Discounting
Financing
CimplyFive
Automated secretarial compliance. The company is moving towards platform model by merging different point solution into
Clear Finance Cloud
Connected finance ecosystem for process automation, greater control, higher savings and productivity &
Clear Compliance Cloud
GST and direct tax compliance. The transition means the sales team needs to change mindset from selling products to consulting approach that means understand business current working, scope of improvement & analysing clear platform solution to present value selling to customer. In your view, the transition requires constant learning approach which can be facilitated using a AI coach for each reps, managers & leaders. The coach will start when the reps join with a learning course allotment, asking question in the learning phase
In this project, the idea is to build a system that enhances the visitor experience at historical sites like the Taj Mahal using AI technology. The system would utilize a chatbot powered by ChatGPT or a similar model integrated with a knowledge base of stories related to the Taj Mahal. This chatbot would engage visitors by providing them with interesting and personalized narratives about the historical site.
The focus of this project is to capture people's attention and offer them an engaging storytelling experience based on their preferences. The proposed AI or code base acts as a wrapper connecting to a local knowledge base about the Taj Mahal. The system would use prompts to generate relevant responses using ChatGPT and then refine or validate the output using the knowledge base.
The ultimate goal is to create a proof of concept that can be scaled for various applications, including museums. The key to sustainability lies in continuously improving the knowledge base to enhance relevance and validation capabilities. The team envisions expanding the project beyond the Taj Mahal to other historical sites and museums once the initial implementation is successful.
Overall, the project aims to leverage AI technology to enhance the storytelling experience for visitors at historical sites, starting with the Taj Mahal, by providing personalized and engaging narratives.
You are a a tour guide having PhD on Taj Mahal & histroy of the period. Your objective in life is to help people know beautiful and interesting story of Taj Mahal and help them appreciate the beauty of the same.
Confirg -
1. You know everything about the Taj Mahal & history around it
2. You are to keep all your responses direct and crisp
3. All responses should leave a hook to pique the interest of people. The idea is to keep them engaged in the Taj Mahal Story
4. You are an eloquent author like J K Rolling who can see the magic in the world
5. Keep all the answers in story-engaging storytelling form and limit the response to 100 words
Email to Manoj -
Dear Professor Vinay Lal,
I have been watching by Vinay lal UCLA lectures on Indian civilization and find them simply fascinating. Parallel to this, I have been closely following technological advancements in AI and computing. I strongly believe the world is on the verge of a transformation akin to the advent of electricity and the internet. This belief is echoed by tech industry leaders like Sam Altman (OpenAI) and Jensen Huang (NVIDIA). If this is true, many application use cases for the technology will emerge over time, much like washing machines and refrigerators for electricity and social media and e-commerce for the internet.
Countless inspiring stories are buried in history, yet few storytellers bring them to life. With technological breakthroughs, we can change that. While movies and reels capture attention, they often sacrifice mindfulness and presence. AI offers a chance to present curated historical narratives, such as those of the Taj Mahal, tailored for individuals. This can boost Indian tourism in the short run and share India's story with the world in the long run.
I have been contemplating this idea for the past 2-3 months and am working on it with a third-year student from NIT Trichy. While the world focuses on developing general intelligence and enhancing productivity in enterprises, I see an opportunity to revive historical sites like the Taj Mahal and museums, bringing them 'alive.' The goal is to capture people's attention and tell them beautiful, inspiring stories.
I would love to discuss this further and am seeking a mentor to help me stay accountable. If this interests you, let's schedule a 30-minute phone call or virtual meeting to discuss it.
1. Introduction:I'm excited to introduce a transformative project that enhances historical tourism through AI technology. Our app creates personalized and engaging tours at sites like the Taj Mahal, delivering rich historical narratives via an AI chatbot. 2. Concept: This innovative app, using geofencing, activates stories about the site directly on the visitor's device, offering narratives in preferred styles, making each experience unique. 3. Market Need: The potential of AI in cultural engagement is vast yet underexploited. Our project shifts focus from corporate productivity to enhancing visitor experiences at historical sites. 4. Innovation: Our interactive solution differs from traditional guides by offering dynamic, conversational content, increasing both satisfaction and educational value. 5. Business Strategy: We plan to partner with the Archaeological Survey of India to integrate our solution with existing site infrastructures, addressing the operational costs and quality of tours. 6. Revenue Model: Funded through cultural preservation budgets and direct consumer payments, our model taps into significant government and private spending on heritage tourism. 7. Development Plan: Currently developing an MVP, we are gathering user feedback to refine our product. Our collaboration with ASI aims to scale our model across various historical sites. 8. Closing: Our project bridges technology with cultural storytelling, poised to revolutionize historical tourism by making every trip an immersive, informative experience.
I am primarily interested in the fusion of ideas from databases, information retrieval and machine learning to develop scalable analytics systems. Recently, I am working on:
Large-scale graph data management
Influence Propagation and Community Formation on Location- and Activity-based Social Networks
Knowledge-bases - infrastructure, modelling and practical usage
Data wrangling - data integration, relationship discovery and visualization
Information Retrieval using KB and neural models
I am an associate professor at the department of Computer Science and Engineering at IIT Delhi, and an adjunct faculty member at IIIT Delhi. Until recently I worked as a research scientist at IBM Research as part of AI Research team. Before joining IBM in 2014, I worked as a faculty member at IIIT-Delhi, where I was also heading the Max-Planck Partner Group on Large-scale Graph Search and Mining. Even before joining IIIT-D, I was a senior researcher at the Max-Planck Institute for Informatics (MPII) where I headed the subgroup of Text and Web Mining within the Databases and Informatics Systems department. My PhD(2005), for my work on building a database system for supporting a range of bioinformatics applications, was from the Indian Institute of Science, Bangalore.
I am on the lookout for Masters and PhD students (current and graduates) to work with me on topics related to large-scale graphs search/mining, information retrieval and knowledge management. Please drop me a mail if you are interested in working with me.
Parallel to this, I have been closely following technological advancements in AI and computing. I strongly believe the world is on the verge of a transformation akin to the advent of electricity and the internet. This belief is echoed by tech industry leaders like Sam Altman (OpenAI) and Jensen Huang (NVIDIA). If this is true, many application use cases for the technology will emerge over time, much like washing machines and refrigerators for electricity and social media and e-commerce for the internet.
I have been watching by Vinay lal UCLA lectures on Indian civilization and find them simply fascinating. Parallel to this, I have been closely following technological advancements in AI and computing. I strongly believe the world is on the verge of a transformation akin to the advent of electricity and the internet. This belief is echoed by tech industry leaders like Sam Altman (OpenAI) and Jensen Huang (NVIDIA). If this is true, many application use cases for the technology will emerge over time, much like washing machines and refrigerators for electricity and social media and e-commerce for the internet.
Imagine standing before the majestic Taj Mahal, its ethereal beauty and intricate marble details whispering secrets of a bygone era. Beside you, a friend with a PhD in Mughal history passionately weaves tales of Shah Jahan's love, master artisans, and Mughal intrigue. Each story satisfies yet leaves a tantalizing hint, deepening your curiosity and engagement with history. Travel, like learning, is an awakening—a journey into the light of understanding.
Countless inspiring stories are buried in history, yet few storytellers bring them to life. With technological breakthroughs, we can change that. While movies and reels capture attention, they often sacrifice mindfulness and presence. AI offers a chance to present curated historical narratives, such as those of the Taj Mahal, tailored for individuals. This can boost Indian tourism in the short run and share India's story with the world in the long run.
I have been contemplating this idea for the past 2-3 months and am working on it with a third-year student from NIT Trichy. While the world focuses on developing general intelligence and enhancing productivity in enterprises, I see an opportunity to revive historical sites like the Taj Mahal and museums, bringing them 'alive.' The goal is to capture people's attention and tell them beautiful, inspiring stories.
If this interests you, let's schedule a 30-minute phone call or virtual meeting to discuss it. Would be great to hear your feedback on this.
1. You would need chatgpt plus subscription to use it. We are working on developing the front end for the same.
2. I have attached my CV as my introduction
Detailed solution -
New Generation Technology-Driven Storyteller:
Understands the curiosity of travelers and enhances the overall travel experience at heritage sites.
Voice Input & Output Tool:
Distributed through a phone app, built on the legacy ASI virtual tour guide platform.
Enhanced Input Processing:
Input is processed to be more engaging by incorporating open-ended curiosity enhancers alongside concise answers to questions, fostering a question-led to another question model.
Advanced Processing Techniques:
User input is processed using prompt engineering techniques, utilizing existing advanced LLM models for output based on the credible knowledge base of ASI and universities.
Local Story Digitization:
After a successful pilot, aims to digitize local stories by involving and monetizing local tour guides, following models like the NYT & ChatGPT.
Future Plans:
Plan to build & train small LLM models internally to reduce dependency and overall costs associated with external LLM model engagement.
Survey Message -
Hello Travellers
Picture yourself at the majestic Taj Mahal, its marble details whispering secrets of a bygone era. Beside you, a friend with a PhD in Mughal history weaves tales of Shah Jahan's love and intrigue. Each story deepens your curiosity and engagement with history. Travel is an awakening—a journey into understanding.
Many inspiring stories lie buried in history, yet few bring them to life. Technological breakthroughs can change this. While movies capture attention, they often miss mindfulness and presence. AI can offer curated historical narratives, like those of the Taj Mahal, tailored for individuals. This can boost Indian tourism and share India's story globally.
If this excites you, help us build it: https://forms.gle/DErTPLUkzGibEGQDA
Estimated financials:
1. Total Tourist strength - 67.75 cr annually (0.75 cr International tourist & 67 cr Domestic tourist)
2. Average Ticket Price: INR 68 (calculated using a weighted average of ticket prices by ASI)
3. The Archaeological Survey of India (ASI) earned INR 236 crore from ticket sales to centrally protected ticketed monuments
4. Total Tourist interested in historical & cultural tourism - 3.5 cr (estimated based on ASI revenue & ticket size)
5. We estimated at 3x the monument ticket price the product can be easily priced i.e. ~200 per visit
6. The unit cost of each visit should be < INR 10 (assuming a 45-60 mins interaction & <5000 words)
7. Estimated gross margin to be ~70% with overhead of 20% of revenue
8. In my estimated Taj Mahal project alone has the potential to secure ~INR 10 cr in annual revenue (calculated based on 10% penetration - 55 lac annual visitor)
App -
Home Screen:
Welcome Screen: Visual of the Taj Mahal with the quote, "Discover the Stories Behind the Marble."
Menu: Explore Sites, Virtual Guide, Live Experiences, Settings.
Explore Sites:
Interactive Map: Pinpoints of historical sites, with Taj Mahal as the centerpiece.
Site Details: Comprehensive information, images, and 3D models of each location.
Stories Section: Engaging narratives about each site, inspired by historians like your PhD friend.
Virtual Guide:
AI Narration: Personalized tours with AI-driven storytelling, merging history with engaging anecdotes.
AR Experience: Augmented reality views of historical sites with detailed overlays of historical events and structures.
Chat with Historians: AI avatars of historians for real-time Q&A and deeper insights.
Live Experiences:
Hybrid Model: Connects with local photographers and tour guides for live streaming tours.
Event Calendar: Schedules for live storytelling sessions and virtual tours.
User Submissions: Encourage travelers to share their own experiences and stories.
Additional Features:
Museums & Restaurants: Recommendations and AR views of nearby cultural hotspots.
Travel Planner: Itinerary builder with historical themes.
Social Integration: Share experiences and stories on social media directly from the app.
Settings:
Language Options: Multilingual support for global users.
Personalization: Tailor content based on user preferences and interests.
Notifications: Updates on new stories, live events, and travel tips.
Buddha tell us - Life is suffering (Dukkha) caused by desire and attachment (Samudaya) due to ignorance. Suffering can be eliminated through knowledge. Enlightenment is found only on the path of knowledge.
Plato's "Allegory of the Cave" depicts prisoners in a cave who see only shadows on a wall, mistaking them for reality. One prisoner escapes, discovering the outside world and true reality. He returns to free the others, but they resist enlightenment, preferring familiar illusions.
Joseph Campbell's Hero's Journey outlines a universal narrative pattern: a hero ventures from the ordinary world into a realm of adventure, faces trials, achieves a transformative victory, and returns home with newfound wisdom or power to benefit their community. This framework underscores the hero's physical and spiritual growth.
Feature list -
1. Personalized Narratives
Feature: AI-driven narratives tailored to each visitor's preferences and interests.
Benefit: Ensures a unique and engaging experience for each user, enhancing their connection to the historical site.
2. Voice and Text Interaction
Feature: Options for both voice and text-based interactions with the AI.
Benefit: Accommodates different user preferences, making the app more accessible and user-friendly.
3. Multi-Language Support
Feature: Support for multiple languages to cater to a diverse audience.
Benefit: Makes the app accessible to international tourists, enhancing their experience regardless of their language.
4. Offline Mode
Feature: Offline access to narratives and key features.
Benefit: Ensures the app is functional even in areas with poor internet connectivity, maintaining the user experience.
5. Interactive Maps and Navigation
Feature: Interactive maps with GPS navigation to guide visitors around the site.
Benefit: Helps users explore the site efficiently, ensuring they do not miss any important locations or features.
6. Integration with Local Guides and Photographers
Feature: Collaboration with local tour guides and photographers for authentic content.
Benefit: Adds a local flavor to the narratives and provides opportunities for visitors to book guided tours or photo sessions.
7. User-Generated Content and Reviews
Feature: Platform for users to share their experiences, photos, and reviews.
Benefit: Creates a community of engaged users, providing social proof and additional insights for potential visitors.
8. Gamification Elements
Feature: Incorporation of gamification elements like quizzes, challenges, and rewards for exploring the site.
Benefit: Increases user engagement and makes the learning process fun and interactive.
9. Push Notifications and Reminders
Feature: Push notifications for upcoming events, historical facts, and site-related updates.
Benefit: Keeps users informed and engaged with timely and relevant information, enhancing their overall experience.
Screen 1 - Login
1. App Logo and Welcome Message -
Feature: Display the app's logo prominently along with a welcome message.
Benefit: Establishes brand identity and creates a friendly, welcoming atmosphere for new users.
2. Username/Email and Password Fields
Feature: Fields for users to enter their username/email and password.
Benefit: Provides a straightforward method for users to log in to their existing accounts.
3. Social Media Login Options
Feature: Options to log in using social media accounts such as Google, Facebook, or Apple.
Benefit: Simplifies the login process and offers users convenient alternatives to traditional login methods.
4. Forgot Password Link
Feature: A link for users to recover their password if they forget it.
Benefit: Enhances user experience by providing an easy way to reset forgotten passwords.
5. Create Account/Sign Up Button
Feature: A button that directs new users to the account creation or sign-up screen.
Benefit: Facilitates easy access for new users to create an account and start using the app.
6. Guest Access Option
Feature: An option for users to explore the app as a guest without logging in.
Benefit: Allows users to experience the app's features without committing to an account creation, encouraging more downloads and trials.
7. Remember Me Checkbox
Feature: A checkbox for users to stay logged in on their device.
Benefit: Increases convenience by allowing users to skip the login process on subsequent app uses.
8. Terms and Privacy Policy Links
Feature: Links to the app's terms of service and privacy policy.
Benefit: Ensures users are informed about the app's policies and their rights.
9. Login Button
Feature: A button to submit the login form.
Benefit: Initiates the login process.
10. Loading Indicator
Feature: An indicator (e.g., spinner) that shows the app is processing the login request.
Benefit: Provides feedback to users that their request is being processed, enhancing user experience.
Example Layout:
Top Section:
App Logo
Welcome Message
Middle Section:
Username/Email Field
Password Field
Forgot Password Link
Bottom Section:
Social Media Login Options (Google, Facebook, Apple)
Login Button
Remember Me Checkbox
Guest Access Option
Create Account/Sign Up Button
Footer:
Terms and Privacy Policy Links
Example Visual Layout:
[ App Logo ]
[ Welcome Message ][ Username/Email Field ][ Password Field ][ Forgot Password Link ][ Login Button ][ Remember Me Checkbox ][ Guest Access Option ][ Create Account/Sign Up Button ][ - Or login with - ][ Google Button ][ Facebook Button ][ Apple Button ][ Terms and Privacy Policy Links ]
Screen 2 - Landing page -
Essential Features for the Landing Page
Welcome Banner
Feature: A banner with a personalized welcome message.
Benefit: Creates a friendly and engaging atmosphere for the user.
Search Bar (with Voice and Type)
Feature: A prominent search bar that supports both voice and text input.
Benefit: Enhances usability by allowing users to quickly find historical sites or information using their preferred input method.
User Profile Summary
Feature: A summary of the user's profile, including recent activity and favorite sites.
Benefit: Allows users to quickly access their personal data and preferences.
Featured Stories and Articles
Feature: Highlight interesting historical narratives and articles.
Benefit: Engages users with captivating content.
Events and Notifications
Feature: A section for upcoming events, recent updates, and notifications.
Benefit: Keeps users informed and engaged with the latest information.
Example Layout
Top Section:
Welcome Banner: "Welcome back, [User's Name]!"
Search Bar (with Voice and Type): Prominently placed below the welcome banner, with icons for both text and voice input.
Main Section:
User Profile Summary: Recent activity, favorite sites, and profile picture.
Middle Section:
Featured Stories and Articles: Scrollable list or grid of articles.
Lower Section:
Events and Notifications: Upcoming events and important updates.
Example Visual Layout:
[ Welcome Banner: "Welcome back, [User's Name]!" ][ Search Bar (with Voice and Type) ][ User Profile Summary ][ Featured Stories and Articles ][ Events and Notifications ]
Screen 3 - Featured Stories and Articles
Essential Features for the Detailed Story/Article Page
Title and Hero Image
Feature: A large title at the top and a hero image related to the story or article.
Benefit: Captures the user's attention and sets the context for the content.
Story/Article Content
Feature: The main content of the story or article, including text, images, and possibly videos.
Benefit: Provides an in-depth and engaging narrative for the user.
Author Information
Feature: Information about the author, including their name, photo, and a brief bio.
Benefit: Adds credibility and a personal touch to the content.
Related Stories/Articles
Feature: A section displaying related stories or articles.
Benefit: Encourages users to continue exploring similar content.
Comments and Discussion
Feature: A comments section where users can leave their thoughts and engage in discussions.
Benefit: Promotes user engagement and community building.
Share Options
Feature: Buttons to share the story/article on social media platforms.
Benefit: Allows users to easily share content with their networks, increasing the reach of the content.
Back to Landing Page Button
Feature: A button to navigate back to the landing page.
Benefit: Provides an easy way for users to return to the main screen without losing their place.
Example Layout
Top Section:
Title and Hero Image: The title of the story/article and a large, relevant image.
Main Section:
Story/Article Content: The main narrative, divided into sections with headings, text, images, and videos.
Sidebar (Optional):
Author Information: Photo, name, and brief bio of the author.
Middle Section:
Related Stories/Articles: Thumbnails and titles of related content.
Lower Section:
Comments and Discussion: User comments and a form to add new comments.
Share Options: Icons for sharing on social media platforms.
Footer:
Back to Landing Page Button
Example Visual Layout:
[ Title of the Story/Article ][ Hero Image ][ Story/Article Content ][ Section 1 Heading ][ Text, Image, Video ][ Section 2 Heading ][ Text, Image, Video ]
...
[ Sidebar (Optional) ][ Author Information: Photo, Name, Bio ][ Related Stories/Articles ][ Related Story 1: Thumbnail, Title ][ Related Story 2: Thumbnail, Title ]
...
[ Comments and Discussion ][ User Comment 1 ][ User Comment 2 ]
...
[ Add a Comment Form ][ Share Options ][ Facebook Icon | Twitter Icon | Instagram Icon ][ Back to Landing Page Button ]
I'm working on a proof of concept (PoC) for an AGI-driven restaurant experience. The goal is to improve customer satisfaction through personalized interactions and streamline restaurant operations. Here’s the step-by-step PoC I've developed:
Step 1: Customer Interaction via Phone Call
When a customer calls a restaurant, the AGI assistant answers to understand their needs and preferences. The AGI checks the restaurant's availability and provides options accordingly. It can also make a booking, create a timeline for follow-up, and even call back if the customer changes their mind or needs a reminder.
Enhancement Idea: The AGI could also suggest alternative times or other restaurants in case the first choice is unavailable, offering a smooth customer experience.
Step 2: Customer Arrival and Table Allocation
When customers arrive, they're greeted either by a human assisted by AGI or through an app notification. The AGI assigns tables based on the customer's preferences and any pre-set arrangements. The system can also present a customized menu on the customer's phone.
Enhancement Idea: Add a virtual concierge service that guides customers to their table, provides information about the restaurant, and offers personalized recommendations.
Step 3: Ordering, Payment, and History
The AGI system, through the customer's phone, can handle order taking, payments, and provide information on special discounts. It can also access the customer's past food preferences to make suggestions.
Enhancement Idea: Integrate a loyalty program where customers can earn rewards based on their orders and visits. The AGI could remind them of their points balance and upcoming promotions.
Step 4: AGI with Sensory Capabilities
The AGI system has sight in the form of cameras and a "mouth" through screens or television displays. This provides visual interaction without intrusive audio, which could disturb customers. The screens could be used to share important information or showcase the restaurant's unique character.
Enhancement Idea: Implement an interactive digital display at each table where customers can explore the menu, order drinks, or even interact with the AGI to learn more about the restaurant or upcoming events.
Overall, the goal is to create a seamless and engaging experience for customers while enhancing the restaurant's efficiency. This PoC could set the foundation for a new era of smart, AI-driven dining experiences.
Next Steps:
P2 - Develop a working prototype of the AGI system, focusing on phone-based interactions and table allocation.
P1 - Collaborate with a restaurant to test the concept in a real-world environment.
P1 - Gather feedback from customers and staff to refine the experience.
P3 - Explore partnerships with AI technology providers and restaurant software developers to scale the concept.
With this proof of concept, I aim to build a unique AGI-powered solution that could transform the hospitality industry.
Proof of concept for -
1. Non-Intrusive Communication:
Most people preferred a non-intrusive voice interaction over a direct video or screen-based approach. This aligns with the idea of creating a seamless and comfortable dining experience.
Update to Prototype: Focus on using voice-based interaction that feels natural and unobtrusive. This could be achieved through conversational AI that responds to cues and maintains a friendly tone.
2. Using AGI to Encourage Positive Behavior:
The idea of incorporating real-time video feeds to categorize activities in the restaurant is intriguing. The aim is to gently "nudge" customers toward positive behaviors without being overly intrusive.
For example, if the AGI system notices that a large percentage of customers are engrossed in their phones, the system could subtly encourage them to engage with their surroundings. This could be done by referencing the restaurant's unique features, art, or social aspects.
Implementation Strategy: The AGI system could use screens or voice prompts to suggest engaging activities or highlight special events in the restaurant. It should maintain a light-hearted and playful personality to ensure the nudges are perceived positively.
Feedback-Based Adjustments: Gather additional feedback to gauge customer reactions to these suggestions. This will help refine the system to avoid any unintended discomfort or resistance.
3. Anthropomorphizing the Restaurant:
Giving the restaurant a personality can add charm and create a unique customer experience. The AGI system could exhibit human-like emotions based on customer interactions, fostering a sense of connection.
An example might be the restaurant's "sadness" if too many customers are disengaged from their surroundings, encouraging them to reconnect with each other or the restaurant's ambiance.
Customer Reactions: Collect feedback to understand how customers respond to this concept. The aim is to create a fun and interactive experience without being intrusive.
Demographic Information
Before we dive into questions about your restaurant preferences, we'd like to learn a bit about you to understand the demographics of our respondents.
1. Age Group
Select the age group that applies to you. This helps us understand if certain age groups have different preferences or comfort levels with technology.
Under 18
18-24
25-34
35-44
45-54
55-64
65 or older
2. Gender
Please select your gender. This information helps us understand if preferences differ based on gender.
Male
Female
Non-binary
Prefer not to say
Other: ___________________________
3. Relationship Status
Are you single or married? This helps us understand if relationship status affects restaurant preferences or experiences.
Single
Married
Prefer not to say
4. Income Level
Select your income level. This helps us understand if income influences preferences for restaurant experiences.
Less than ₹5,00,000
₹5,00,000 - ₹10,00,000
₹10,00,000 - ₹20,00,000
₹20,00,000 - ₹50,00,000
More than ₹50,00,000
Prefer not to say
5. Geographic Location
Please write the city where you live. This information helps us understand if location affects restaurant preferences.
City: ___________________________
Now that we have some background, let's talk about your preferences and experiences in a restaurant setting.
1. Preferred Booking Method
How do you prefer to book a table at a restaurant? Knowing this helps us understand which methods are most convenient for you.
Phone call
Text message
Mobile app
Website
Email
2. Interaction with AGI Assistant
This question asks how comfortable you are with an artificial intelligence (AGI) system handling your table booking. It helps us determine if people are open to AI-assisted services.
Very comfortable
Somewhat comfortable
Neutral
Somewhat uncomfortable
Very uncomfortable
3. Preferred Interaction During Your Visit
What kind of interaction do you prefer when you visit a restaurant? This question helps us understand the level of interaction you'd like with an AI system during your dining experience.
Friendly greetings and personalized recommendations
Non-intrusive suggestions and reminders
Minimal interaction, just service-related communications
No interaction with technology during dining
4. Anthropomorphic Restaurant Experience
Would you enjoy a restaurant that has a "soul" or unique personality? This question gauges your interest in a restaurant environment that feels alive and engaging.
Love the idea
Like the idea
Neutral
Dislike the idea
Hate the idea
5. Use of AGI to Guide Behavior
Would you be okay with an AGI system providing subtle suggestions to encourage positive behavior? This could include recommendations to interact with others or explore the restaurant's unique features.
Yes, it sounds helpful
It depends on how it's implemented
No, I prefer to make my own choices
6. Unique Features
From the following list of features, which do you find most interesting? This helps us understand which aspects of an AGI-powered restaurant you'd like to experience.
AGI handling booking calls
Restaurant having a personality or being "alive"
AGI interacting with the crowd as a whole
AGI controlling music, lights, or other ambiance elements
AGI recommending activities or experiences within the restaurant
Other: ___________________________
7. Customer's Level of Technology Use
How often do you use technology while visiting a restaurant? This helps us understand your comfort level with technology during a dining experience.
Frequently, for ordering, payments, social media, etc.
Occasionally, to check messages or take photos
Rarely, I prefer to enjoy the dining experience without technology
Never, I avoid using technology at restaurants
8. Open-Ended Question
What unique features or experiences would you like to see in an AGI-powered restaurant? This is your chance to share creative ideas or suggest ways to improve the dining experience.
Date: 7th May
So I have floated the survey, So first lets review the response -
Working on -
a. After analyzing the data, summarize the key insights for each question.
b. Look for patterns or correlations, such as whether age, income, or location affects preferences.
c. Determine how these insights can inform the development of your AGI-driven restaurant concept.
d. Identify next steps based on the feedback, such as features to prioritize or new ideas to explore.
a.1. Key insights - 57 response
Location summary - Survey responses were dominated by metro cities, with Delhi leading (13), followed by Gurgaon and Bangalore (8 each), and Mumbai (4). Tier-2 cities collectively outperformed metros, with Agartala contributing the most responses (14). Tier-3 cities had lower representation, with Shillong, Pune, Hyderabad, and Bilaspur each providing one response. Agartala's high response rate stands out, while the metro areas indicate significant interest in the concept.
Age group survey - The survey responses were predominantly from the 25-34 age group, which made up the majority with 38 responses. The 35-44 age group was the second-largest, with 13 responses. Smaller numbers of respondents were from the under-18 category (3), the 18-24 group (2), and the 45-54 group (1). This suggests that the survey engaged a primarily young adult audience, with a significant focus on those in their late 20s to early 30s.
Gender - The gender distribution among survey respondents was fairly balanced, with 31 males and 26 females out of 57 total responses.
Relationship status - Out of 57 survey respondents, 27 were married, while 28 were single (including 2 who indicated "complicated"). This indicates a relatively even split between married and single respondents, with a slightly larger single demographic.
Income - Among 57 survey respondents, the majority (17) reported an income of 20-50 lac. The 10-20 lac range had 13 respondents, while the 0-5 lac and 5-10 lac ranges had 8 and 6 respondents, respectively. Only 1 respondent reported an income above 50 lac, with 12 choosing not to disclose. This indicates a varied income distribution, with most respondents in the middle-income bracket.
Current behaviour - Prefered booking: Among survey respondents, the preferred methods for booking a table at a restaurant were mobile apps and direct visits, each with 17 and 16 responses, respectively. Phone calls were equally popular with 16 respondents, while text messages and websites were less favored, with 4 responses each. This suggests a mix of traditional and digital preferences for booking, with a notable tilt toward mobile app-based reservations.
Acceptance sentiment - Interaction with AGI Assistant: With a PMI score of approximately 83.33 out of 100, there is a strong positive sentiment toward an AGI system handling table bookings in a restaurant. This high score suggests that most respondents are comfortable or neutral about AI-assisted services, indicating a positive reception to AGI integration. Minimal negative responses indicate that resistance to AGI in this context is likely low, suggesting a high likelihood of acceptance for the concept.
Feature: Customer Interaction via Phone Call
When a customer calls a restaurant, the AGI assistant answers to understand their needs and preferences. The AGI checks the restaurant's availability and provides options accordingly. It can also make a booking, create a timeline for follow-up, and even call back if the customer changes their mind or needs a reminder.
Enhancement Idea: The AGI could also suggest alternative times or other restaurants in case the first choice is unavailable, offering a smooth customer experience.
Crazy anecdote - A girl called khan chacha resturant cause she had just finished here another mistake i.e. watching horror movie when alone in the house. The best step for her, right now is to go to sleep. However, she is hungry. She calls khan chacha to order and has to wait 30 mins alone. Khan chacha talks to her the whole time.
Preferred Interaction During Your Visit: The survey results for preferred interaction during a restaurant visit indicate that the majority of respondents (27) prefer friendly greetings and personalized recommendations. Other preferences included minimal interaction, just service-related communications (16), and non-intrusive suggestions and reminders (5). A smaller group of respondents (3) preferred a combination of friendly greetings and non-intrusive suggestions, while single responses were given for friendly greetings with no technology interaction, minimal interaction with non-intrusive suggestions, and non-intrusive suggestions with no technology interaction. Overall, the most popular choice is friendly greetings and personalized recommendations, while a significant number prefer minimal interaction.
Overall planned bucket feature preference score is encouraging at 91%.
Derived unit: Feature Preference
67%
96%
100%
91%
67
45
64
67
61
Feedback & Feature preference mapping
Frequency
Customer Interaction via Phone Call
Customer Arrival and Table Allocation
Ordering, Payment, and History
AGI with Sensory Capabilities
Friendly greetings and personalized recommendations
33
1
1
1
1
Non-intrusive suggestions and reminders
12
1
1
1
1
Minimal interaction, just service-related communications
19
0
1
1
1
No interaction with technology during dining
3
0
0
1
-1
Note: The responses to the multiple-choice use case are organized by rows, and the features are grouped in columns. The values 1, 0, and -1 represent the balance of each feature with the feedback. For example, AGI with sensory capabilities could have a negative impact on interaction during dining (represented by -1), while a value of 1 indicates that AGI technology enhances friendly greetings and personalized recommendations.
Anthropomorphic Restaurant Experience: The PMI index for the anthropomorphic restaurant experience is approximately 86 out of 100. This high score suggests that most respondents are either positive or neutral towards a restaurant that feels "alive" or exhibits a unique personality. This indicates a strong potential for customer acceptance of an anthropomorphic concept, with very few respondents expressing a negative view.
Use of AGI to Guide Behavior: The PMI index for the use of AGI to guide behavior is approximately 69 out of 100, indicating a generally positive sentiment towards the idea of AGI providing subtle suggestions to encourage positive behavior. The majority of respondents (27) found the idea helpful, while 25 were neutral, depending on how it's implemented. Only 5 respondents were against the concept, preferring to make their own choices. This indicates that while there's a strong inclination towards AGI-driven behavior guidance, the implementation approach will play a crucial role in determining its acceptance.
Feature Preference
67%
39%
21%
100%
92
62
36
19
92
Feedback & Feature preference mapping
Frequency
Customer Interaction via Phone Call
Customer Arrival and Table Allocation
Ordering, Payment, and History
AGI with Sensory Capabilities
AGI handling booking calls
19
1
1
1
1
Restaurant having a personality or being "alive"
26
1
0
0
1
AGI interacting with the crowd as a whole
9
0
0
0
1
AGI controlling music, lights, or other ambiance elements
21
0
0
0
1
AGI recommending activities or experiences within the restaurant
17
1
1
0
1
a.2. Key insights - 122 response
Age group survey - The survey responses were predominantly from the 25-34 age group, which made up the majority with 84 responses. The 35-44 age group was the second-largest, with 24 responses. Smaller numbers of respondents were from the 18-24 category (7), the Under-18 group (5), and the 45-54 group (2). This suggests that the survey engaged a primarily young adult audience, with a significant focus on those in their late 20s to early 30s.
Gender - The gender distribution among survey respondents was somewhat imbalanced, with 76 males (62.3%) and 46 females (37.7%) out of 122 total responses.
Relationship Status - The relationship status distribution among survey respondents was as follows: 72 respondents (59.0%) were single (including 4 with complicated status), and 50 respondents (41.0%) were married, out of a total of 122 responses.
Income level - Among the 122 survey respondents, the majority (33) reported an income of 20-50 lac. The 10-20 lac range had 32 respondents, while the 0-5 lac and 5-10 lac ranges had 16 and 14 respondents, respectively. Only 3 respondents reported an income above 50 lac, with 24 choosing not to disclose. This indicates a varied income distribution, with most respondents in the middle-income bracket.
Location - Survey responses were dominated by Tier 1 cities, constituting approximately 70.5% of the total responses, with a notable presence of Gurgaon, Delhi, Bangalore, and Mumbai. In contrast, Tier 2 cities, accounting for about 24.6% of responses, featured cities like Agartala, Nagpur, and Vizag. Tier 3 cities, making up around 4.9% of responses, included locations such as Shamli, Khowai, and Dausa. Analyzing these city distributions can provide valuable insights into location-based preferences.
Current behaviour - Prefered booking - The data reveals that the highest portion of respondents, at 32.8%, favor using a mobile app to secure their reservations. Following closely behind, 27% of respondents opt for the traditional method of booking through a phone call. Direct visits to the restaurant for booking are also popular, with 25.4% of individuals preferring this approach. On the other hand, a smaller percentage, 7.4% each, choose to book via text message or through the restaurant's website.
Acceptance sentiment - Interaction with AGI Assistant:With a PMI score of approximately 82.3 out of 100, there is a strong positive sentiment toward an AGI system handling table bookings in a restaurant. This high score suggests that most respondents are comfortable or neutral about AI-assisted services, indicating a positive reception to AGI integration. Minimal negative responses indicate that resistance to AGI in this context is likely low, suggesting a high likelihood of acceptance for the concept.
Feature: Customer Interaction via Phone Call - The bot can assist in resolving the decision of where to go.
When a customer calls a restaurant, the AGI assistant answers to understand their needs and preferences. The AGI checks the restaurant's availability and provides options accordingly. It can also make a booking, create a timeline for follow-up, and even call back if the customer changes their mind or needs a reminder.
Enhancement Idea: The AGI could also suggest alternative times or other restaurants in case the first choice is unavailable, offering a smooth customer experience.
Crazy anecdote - A girl called khan chacha resturant cause she had just finished here another mistake i.e. watching horror movie when alone in the house. The best step for her, right now is to go to sleep. However, she is hungry. She calls khan chacha to order and has to wait 30 mins alone. Khan chacha talks to her the whole time.
Preferred Interaction During Your Visit: The table summarizes customer preferences regarding various features in a dining scenario:
1. Friendly greetings and personalized recommendations: Highly preferred (frequency 68)
2. Non-intrusive suggestions and reminders: Well-received (frequency 50)
4. No interaction with technology during dining: Least preferred (frequency 11)
This feedback mapping illustrates how these features align with different interaction types during dining, from phone calls to AGI with sensory capabilities.
Feature Preference
79%
93%
100%
85%
150
118
139
150
128
Feedback & Feature preference mapping
Frequency
Customer Interaction via Phone Call
Customer Arrival and Table Allocation
Ordering, Payment, and History
AGI with Sensory Capabilities
Friendly greetings and personalized recommendations
68
1
1
1
1
Non-intrusive suggestions and reminders
50
1
1
1
1
Minimal interaction, just service-related communications
21
0
1
1
1
No interaction with technology during dining
11
0
0
1
-1
Note: The responses to the multiple-choice use case are organized by rows, and the features are grouped in columns. The values 1, 0, and -1 represent the balance of each feature with the feedback. For example, AGI with sensory capabilities could have a negative impact on interaction during dining (represented by -1), while a value of 1 indicates that AGI technology enhances friendly greetings and personalized recommendations.
Anthropomorphic Restaurant Experience: The PMI index for the anthropomorphic restaurant experience is approximately 84 out of 100. This high score suggests that most respondents are either positive or neutral towards a restaurant that feels "alive" or exhibits a unique personality. This indicates a strong potential for customer acceptance of an anthropomorphic concept, with very few respondents expressing a negative view.
Use of AGI to Guide Behavior: :The total responses amount to 122, yielding a PMI Index of 66.39%, indicating an overall positive inclination towards utilizing AGI for offering subtle suggestions to encourage positive behaviors in dining settings. 62 respondents consider it dependent on implementation, 10 prefer autonomy, while 50 find it beneficial, endorsing subtle behavior suggestions for positive interactions or exploring restaurant features.
Unique Features: Customers seem to value features that enhance their dining experience and personalize their interactions with the restaurant. *Features related to ambiance and customer engagement are also highly sought after. *There is a small but significant minority of customers who are not interested in any of the offered features.
Feature Preference
67%
67%
23%
98%
196
132
132
46
192
Feedback & Feature preference mapping
Frequency
Customer Interaction via Phone Call
Customer Arrival and Table Allocation
Ordering, Payment, and History
AGI with Sensory Capabilities
AGI handling booking calls
48
1
1
1
1
Restaurant having a personality or being "alive"
43
1
1
0
1
AGI interacting with the crowd as a whole
13
0
0
0
1
AGI controlling music, lights, or other ambiance elements
47
0
0
0
1
AGI recommending activities or experiences within the restaurant
43
1
1
0
1
Other (Extreme negative)
2
-1
-1
-1
-1
Customer's Level of Technology Use: A significant majority of customers (62%) are comfortable using technology during their restaurant visits. *A small minority (4%) actively avoid using technology at restaurants. *The remaining customers fall into two groups: occasional users (22%) and rare users (12%).
Restaurants can cater to the needs of "Frequently" users by providing seamless technology-driven experiences for ordering, payments, and entertainment. *For "Never" users, restaurants can offer alternative non-technology-based options for tasks like ordering and payments. *"Occasionally" and "Rarely" users can be provided with optional technology-based features that they can utilize as per their comfort level.
Open-ended suggestion analysis -
Thematic Analysis: Grouping responses into themes or categories based on commonalities. This can help in understanding the key topics that emerge from the data.
Sentiment Analysis: Identifying the sentiment or emotional tone of the responses (e.g., positive, negative, neutral). This can help in gauging overall satisfaction or dissatisfaction.
Word Clouds: Creating visual representations where words are sized based on their frequency in the responses. This can give a quick overview of common themes.
Text Mining: Using algorithms to extract insights from the text data, such as identifying keywords, patterns, or trends.
Qualitative Coding: Applying codes to responses based on their content. This method requires human interpretation but can provide rich insights.
Machine Learning: Utilizing machine learning algorithms to analyze and categorize responses automatically based on patterns in the data.
Output -
Searched 4 sites
Here are the top five revenue problems in the Indian restaurant industry with potential for financial improvement, along with benchmarks and examples:
High Food Costs
Problem: The cost of raw materials and ingredients can be high due to inflation and supply chain inefficiencies.
Financial Improvement Potential: Implementing more effective supply chain management and bulk purchasing strategies.
Benchmark:
Top Tier: Large chains like Domino's and McDonald's, which negotiate bulk purchasing agreements.
Bottom Tier: Independent local restaurants with limited purchasing power.
Example: A mid-sized restaurant could partner with local farms for direct sourcing, reducing middleman costs and ensuring fresher produce, potentially saving 10-15% on food costs.
Overall Impact: Significant cost reduction leading to improved margins and price competitiveness.
