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Case 03Hospitality · Spice Garden

Reimagining special occasions through ambience control

A concept dining platform where families set the lighting, music and décor of a celebration before they arrive.

Context
Studio concept
Role
Lead UX design
Platform
Web and mobile
Timeline
1 month

Concept interface, built in code by us.

Outcome

Outcome

  • Celebration planning that takes one flow instead of several suppliers
  • Customisation that feels quick and intuitive
  • Value on both sides: easier for guests, more structured for restaurants

Overview

What we were working with.

Spice Garden is a concept for planning special occasions through personalised restaurant ambience. Guests choose lighting, music, décor and theme, then book, all in one connected experience.

The problem

Planning a meaningful celebration means juggling venues, decorators, set-up and extra cost, which makes it stressful and slow. Restaurants struggle too: personalisation is limited and manual set-up takes staff time.

Who we designed for

Priya and Arjun, working parents

“We want a memorable celebration for our daughter without spending days coordinating venues, décor and set-up.”

Goals

  • Save time planning celebrations.
  • Shape the dining ambience around the occasion.
  • Arrive to a ready-made celebration with no set-up stress.

Pain points

  • Event planning feels slow and fragmented.
  • Coordinating decorators adds cost and effort.
  • Restaurant experiences lack personalisation.

ScenarioPriya and Arjun are planning their daughter's ninth birthday and want a princess theme without managing decorators separately. In one flow they find a restaurant, choose the occasion, set the ambience and confirm the booking.

Process

How we got there.

  1. 01

    Concept framing

    • Defined the concept around stress-free celebration planning.
    • Focused the experience on discovery, personalisation and booking.
    • Set it up as an experiment in AI-assisted product design.
  2. 02

    Persona and journey

    • Built the concept around Priya and Arjun as the primary lens.
    • Mapped their journey from discovery to ambience choice and booking.
    • Used that flow to shape the product structure, screen by screen.
  3. 03

    AI-led exploration

    • Used AI tools to explore many layout and interaction directions quickly.
    • Tested structures for the landing page, dashboard and controls.
    • Compared ways to balance quick actions with deeper customisation.
  4. 04

    Final interface

    • Combined the strongest directions into one connected experience.
    • Organised the product into landing, dashboard and ambience controls.
    • Focused the result on clarity, personalisation and storytelling.

Design decisions

The calls that shaped it.

  • Mood over menus

    We organised the information architecture around the mood of the evening rather than restaurant functions, so choosing ambience feels like part of the experience, not an extra step.

  • Presets and fine control

    Quick mood presets sit alongside manual controls, so first-time guests can decide fast and regulars can fine-tune.

  • AI for speed, people for judgement

    Figma Make, ChatGPT, Perplexity, Gamma and Supabase did the heavy lifting on exploration and build, while the UX decisions stayed with us.

What we learned

What we carry into every project.

  1. One strong hook holds a product together

    Customisable ambience gave the concept a clear differentiator and a storytelling backbone, even with a heavily AI-assisted workflow.

  2. AI amplifies, it does not replace

    The tools sped up iteration and storytelling; the thinking about users and flows still did the work.

  3. Serve both sides

    Designing for guests and restaurants at once turned a booking tool into a service.

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