holiday experiences marketplace

holiday experiences marketplace

Transforming a cultural experience marketplace from generic listings into Trusted, confident bookings.

Holiday World is an early-stage marketplace for holiday & cultural experiences, storytelling evenings, and hands-on traditions hosted by local communities.

While the broader product includes discovery, booking, and post-experience flows, this case study focuses specifically on the listing creation and listing experience system, the critical layer that connects organizers to guests.

role

Lead Product Designer

While I contributed across the product, this case study focuses on the listing system,

where I led the end-to-end design.


my contributions

  • Framed the core product problem

  • Designed and tested the initial MVP

  • Identified gaps through user behavior

  • Led the redesign into a structured, scalable system

cross- COLLABORATION

  • Founders & PMs
    I helped define success metrics and

    shifted focus from listing quantity → listing quality

  • Engineers
    Collaborated with them on structuring the multi-step system

    and ensuring feasibility

  • User feedback & early product signals
    Used interviews and behavioral patterns to guide iteration

status

Under development- Prototype validated with users

before

after

understanding the ecosystem

Before designing the solution, I focused on understanding both sides of the marketplace.

There is a mismatch between:

How AI delivers information → instant, output-driven

How humans process information → gradual, contextual, evolving

This gap results in:

  • Low trust

  • Poor recall

  • Weak engagement

Research approach

To understand this bridge, I combined:

  • Organizer interviews → how they think about their experiences

  • Guest interviews → what they look for before booking

  • Competitive analysis → Airbnb Experiences, Eventbrite, niche platforms

  • Early product signals → listing quality and drop-offs

There is a mismatch between:

How AI delivers information → instant, output-driven

How humans process information → gradual, contextual, evolving

This gap results in:

  • Low trust

  • Poor recall

  • Weak engagement

assumption & building an MVP

To move quickly, we designed a simple listing creation flow focused on reducing friction. Organizers could input a title, description, pricing, media, and basic logistics.

the assumption

If we lower the barrier to creating a listing, organizers will naturally create rich, compelling content.

What we built

We designed a lightweight MVP focused on speed and ease:

  • Title and description

  • Pricing and media

  • Basic logistics

The goal was to:

  • Reduce friction

  • Increase supply quickly

  • Validate if organizers could self-express without guidance

testing the MVP & insights

We tested the MVP with real users and ran research across three channels- interviews with organizers, interviews with potential attendees, and internal data from early listing behavior and drop-off patterns.

insights from testing

What this meant for the product

At this point, we realigned the direction:

  • With PMs → from “increase listings” to “improve listing quality”

  • With engineering → feasibility of restructuring the flow

  • With user insights → identifying where guidance was needed most

This led to a fundamental shift:

From a flexible form → to a structured storytelling system

design principle

The listing flow should act less like a form and more like a conversation that draws out historical and cultural knowledge the organizer already has.

designing a guided storytelling system

7 step system

Instead of iterating on the same form, I redesigned listing creation as a structured, multi-step system. The goal wasn't just to collect information; it was to help organizers express their experience in a way that builds trust, step by step, in an order that makes sense for a guest to receive it.

Why this works

Breaks a complex task into manageable steps

  • Guides organizers without overwhelming them

  • Ensures every listing includes meaning, not just logistics

Key Design Decisions

  1. Guiding expression instead of asking for it

Problem:
Users didn’t know what to write in open-ended fields

Decision:
Replace large text inputs with guided prompts

What I designed:

  • Broke writing into smaller, structured questions

  • Used specific placeholders and examples to guide responses

Why it works:

  • Reduces blank canvas anxiety

  • Improves clarity and depth of responses

  • Helps organizers articulate without overwhelming them

  1. Making cultural context visible

Problem:
Guests lacked the context needed to understand and trust experiences

Decision:
Introduce a dedicated “Cultural Identity” layer

What I designed:

  • Structured inputs around origin, meaning, and traditions

  • Dedicated section for explaining the experience in context

Why it works:

  • Bridges the knowledge gap between host and guest

  • Helps users feel more confident engaging with unfamiliar experiences

  1. Structuring trust progressively

Problem:
Trust gaps only became visible after listings were published

Decision:
Introduce a validation layer before publishing

What I designed:

  • A listing readiness checklist

  • An AI-assisted validation layer that identifies missing trust signals (e.g., accessibility, expectations, key details)

Why it works:

  • Surfaces gaps before users encounter them

  • Improves listing quality proactively

  • Reduces uncertainty during booking

The listing page is the payoff of the system

Every section of the creation flow maps to a corresponding trust-building block on the listing page. The organizer's structured input becomes a rich, readable experience.

I also added one AI feature on the attendee side- a personalized preview card that surfaces above the fold, bridging the guest's browsing history to the specific experience. It references what the guest has saved or viewed, and surfaces a warm, specific reason to book.

What validation showed us

We tested the redesigned flow with users to understand how it changed behavior.

  • Organizers expressed more with less effort
    Structured prompts helped move from short, logistical descriptions to more meaningful content

  • Reduced friction during creation
    Breaking the flow into steps made it easier to progress without hesitation

  • Listings became more differentiated
    Cultural context and personal stories made each experience feel distinct

  • Improved clarity for guests
    Users could better understand and evaluate experiences before booking

  • Trust gaps surfaced earlier
    The validation layer helped identify missing information before publishing

reflection

This project shifted how I think about designing forms.

What started as a listing flow turned out to be a problem of translation between what organizers know and what guests need to trust.

I learned that good design doesn’t just make input easier; it shapes how information is expressed and understood across the system.

Working in an early-stage environment also meant balancing speed with clarity, shipping quickly, learning from real behavior, and evolving the product in collaboration with PMs and engineers.