Talon

Product Strategy, UX

Simple, bold.

Index

  1. Details

  1. Research

  1. Strategy

    • Insight to Solution

    • AI use cases

    • Information Architechture

  1. Solution

    • P1: Onboarding

    • P2: Search

    • P3: Choice

    • P4: Post-purchase

  1. Design system

  1. Reflections, and next steps.

  1. Details

  1. Details

1.1 Timeline


Sep '25 : 1.5 weeks


IIM Ahmedabad x EXL

Product Wizards case competition

1.1 Timeline


Sep '25 : 1.5 weeks


IIM Ahmedabad x EXL

Product Wizards case competition


1.1 Timeline


Sep '25 : 1.5 weeks


IIM Ahmedabad x EXL

Product Wizards case competition



1.2 The team and our roles


Pranita Potghan (Strategy+Tech)

Mishthi Narang (Strategy+Finance)


and myself,

Apurva Bhure (Strategy+Product)

1.2 The team and our roles


Pranita Potghan (Strategy+Tech)

Mishthi Narang (Strategy+Finance)

Apurva Bhure (Strategy+Product)

1.2 The team, our roles


Pranita Potghan (Strategy+Tech)

Mishthi Narang (Strategy+Finance)


Apurva Bhure (Strategy+Product)

1.3 Key skills


Product strategy, UX Design, Market and User Research


Tools: Figma

1.3 Key skills


Product strategy, UX Design, Market and User Research


Tools: Figma

1.3 Key skills


Product strategy, UX Design, Market and User Research


Tools: Figma



  1. The Brief

  1. The Brief

  1. Research

  1. Research

  1. Strategy

  1. Strategy

4.1 Insight to Solution

4.1 Insight to Solution

1. Search term length has gone up since AI.

1. Search term length has gone up since AI.

Data point: The average search term pre-AI was 3-4 words. AI natural language search is an average 23 words.

The insight: Users are ready for a conversational experience, and willing to put in a greater effort upfront, for precise results and reduced scrolling later.

Data point: The average search term pre-AI was 3-4 words. AI natural language search is an average 23 words.

The insight: Users are ready for a conversational experience, and willing to put in a greater effort upfront, for precise results and reduced scrolling later.

Source: Writesonic (2024)
Moz, Statista, & SparkToro (2019–2024)

Source: Writesonic (2024)
Moz, Statista, & SparkToro (2019–2024)

Solution: 2-step search system

The user interacts with a natural language search bar, but the search results don't show up immediately. The user is shown a second step, where the AI asks clarifying questions and filters for price, colour, waterproofing, and other preferences the user didn't mention earlier. The search results that show up now are precise, reducing bounce rates by 10%.

  1. Virtual try-on for buyer confidence.

  1. Virtual try-on for buyer confidence.

Data point:

The insight: Within online fashion returns (24.5%), that majority of (70-77%) coming from fit/size issues has an outsized impact on footwear. because fit in footwear is nuanced, 3D, and unrealible.

Solution: Virtual Try-On

Brands that offer VTO have seen a return reduction of 20-30% on avg.


Engagement: Users spend 25% more time on a product page and show a 200% increase in interaction when an AR tool is available.


Customer Confidence: 45% boost in buyer confidence and 60% less hesitation in checkout.

  1. Post-purchase features for SDG 12

  1. Post-purchase features for SDG 12

Data point: The primary source for the CO2 emissions per pair of sneakers is a seminal lifecycle assessment (LCA) conducted by researchers at MIT.

Solution: Integrated care and repair guides, and a listing feature to sell.

Care and Repair maximize the useful life of products, aligning with Target 12.5 by drastically reducing textile waste and the need for resource-intensive new production. Sell enables product reuse, ensuring items are used for their full lifecycle and promoting more sustainable consumption patterns.

  1. Post-purchase features for SDG 12

  1. Post-purchase features for SDG 12

Data point: The primary source for the CO2 emissions per pair of sneakers is a seminal lifecycle assessment (LCA) conducted by researchers at MIT.

Solution: Integrated care and repair guides, and a listing feature to sell.

Care and Repair maximize the useful life of products, aligning with Target 12.5 by drastically reducing textile waste and the need for resource-intensive new production. Sell enables product reuse, ensuring items are used for their full lifecycle and promoting more sustainable consumption patterns.

4.2 AI use cases

4.2 AI use cases

4.3 Information Architechture

4.3 Information Architechture

  1. Solution

  1. Solution

5.1 Phase 1- Onboarding

5.1 Phase 1- Onboarding

  1. Design System

  1. Design System

  1. Reflections, and next steps.

  1. Reflections, and next steps.