Who all will invest?

Will they get Funded?

👍

Yes

👎

No

Project Overview

How it works

As founders pitch their startups, users predict whether they will get funded and by whom.

If players correctly predict 2/3 or 3/3 pitches, they win free eyewear daily!

My Role

Product design, strategy, user testing

Collaboration with

Product managers, developers

My Motivation :)

Design Approach:

Visual Language:


  1. Integrated wave patterns to reflect Shark Tank’s oceanic theme

  2. Used playful and bold typography (variable fonts) for an engaging experience.

  3. Gamified UI with celebratory animations for wins.

  4. Dynamic updates based on daily episodes to keep the experience fresh.

UX Considerations:


  1. Real-time prediction engagement.

  2. Reward feedback mechanism to encourage continued participation.

  3. Clear, intuitive navigation for seamless user interaction.

Game Flow

Landing page & Banners

Goal:
Introduce the game concept and capture user attention via dynamic banners depending on the game's status (Live or Not Live)

Key Design Points:


  • Landing Page Variants: Multiple iterations designed for A/B testing user engagement- different visual arrangements for banners, trivia quiz entry, leaderboard, and prizes

  • Dummy Banners (Live = False/True): Show users whether the prediction game is live.

Home page: Entry point

Landing page: Match off screen

Landing page

Episodes Listing

Goal:
List all available episodes and allow users to quickly enter the prediction game related to each

Highlights:


  • Clear "Play Now" CTAs.

  • Visual distinction between played/unplayed episodes.

  • Teasers and preview images to drive episode-specific interest.

Pitch-1

Future Animation

Play Now

LIVE

05m : 02s left to predict & win

Pitch-1

Future Animation

Play Now

Pitch-1

Future Animat..

Modify Answers

Pitch-1

Future Animation

Result awaited

Pitch-1

Future Animation

Result Out

Different states

Episode listing

Game Flow

Goal:
Design a smooth, question-by-question prediction experience that mimics the thrill of live TV decisions

Key Design Points:


  • Step-by-step prediction (Yes/No, Multi-select).

  • State Management: Disabled states for unanswered questions, validation before submission.

  • Error Handling: Proper messaging when time is over

Game Results

Goal:
Provide instant feedback to users, driving habit formation and excitement for future episodes

Features:


  • Dynamic result feedback (Right/Wrong/Didn’t Play).

  • Compare user predictions with the majority audience.

  • CTA to "Predict Next Pitch" or close results.

  • Reward awareness to boost motivation (score display, trivia score, badges)

Decision pending

Right answer

Wrong answer

Key Learnings from the Project ✅


  1. Micro-engagements Drive Retention: Users loved the bite-sized, interactive nature of the game, making them return daily.

  2. Rewards Increase Participation: Offering real-world incentives (free eyewear) boosted engagement and completion rates.

  3. The Power of Social Proof: Showing how others are predicting influenced user confidence and participation.

  4. Dynamic UI Keeps Users Hooked: Updating designs daily to match episodes created anticipation and excitement.


Final Thoughts


This project was a thrilling dive into blending entertainment with UX gamification. By tapping into the psychology of prediction and rewards, we created an engaging second-screen experience that kept viewers glued to both their TVs and phones.

Would love to hear your thoughts! How would you enhance the play-along experience? 🚀💡


🔗 Want to check out the detailed version?

Check out Figma link

Shark Tank X Lenskart: Play-along prediction game design

The Concept: Predict, Play, and Win