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03UX Research • UI Design

Exotic Studio

A salon booking app for travelling professionals who need reliable grooming in unfamiliar cities — designed end to end in an eight-hour sprint.

Role
UX Research, UI Design, Human-Centred Design
Timeframe
8-hour design sprint
Focus
Trust · Real-Time Availability · Mobile-First Booking
Tools
Figma · ChatGPT · Claude · Perplexity
Case Study Trailer

See the problem, insight and design decision in under a minute.

Problem & Context

Grooming is a confidence problem when you are on the road

Travelling professionals land in a new city with meetings scheduled and no way to judge which salon is safe, clean or on time.

  • No way to verify quality or hygiene
  • Unpredictable waiting time
  • Unclear pricing
  • A bad appointment carries real meeting risk
Research & Validation

What travellers actually optimise for

  • Trust is the biggest barrier — above price and proximity
  • Time matters more than cost
  • Grooming directly affects professional confidence
  • Hygiene is a primary decision driver
  • Stylist profiles matter more than salon branding
Solution

Verified salons, real-time slots, mobile first

The product leads with the two things a traveller cannot get today: proof of quality and certainty about time.

  • Verified salon listings with hygiene and quality signals
  • Real-time availability instead of call-and-hope
  • Stylist profiles that carry the trust
  • Transparent pricing before confirmation
Exotic Studio nearby salons screen showing verified hygiene signals, ratings, distance and near-term availability
Verified salon discovery
Exotic Studio salon details screen showing services, ratings, hygiene status and real-time appointment slots
Real-time slot selection
Exotic Studio booking confirmation showing salon, stylist, appointment details, route and calendar actions
Stylist profile & pricing
Projected / Business Case

Opportunity sizing, not measured results

These figures come from the sprint's business case. The product was not launched, so nothing here is observed performance.

  • 75%

    reduced waiting time

    Projected
  • 90%

    increased trust

    Projected
  • 3x

    faster booking

    Projected
  • 95%

    professional confidence score

    Projected
  • 2.5M+

    potential users

    Projected
  • ₹250 Cr

    GMV potential, year 2

    Projected
  • 50+

    target cities

    Projected

Projected / business case — assumptions used for opportunity sizing.

Next Steps

How this would be validated

  • Usability testing with 15+ participants
  • A/B testing on the booking flow
  • City pilot with a small set of verified salons
  • Scale only after the trust signals hold up in the pilot
Reflection

Eight hours forces the real priority

With a sprint-length timeline, everything decorative falls away. What survived was the trust layer — which turned out to be the product.

Deep dive

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The detailed version includes the research, decisions and design work behind this project.