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UX Research · Live Events

EventBooker — Design Process for a Concert Tourism Platform

A platform that goes beyond ticketing by integrating travel, stay, and social partners into one unified ecosystem. It becomes a single source of truth for fans — consolidating all bookings inside the user profile, simplifying planning, coordinating with friends, and reducing the mess of juggling multiple apps.

EventBooker — design process for a concert tourism platform — UX Research · Live Events case study cover
Role
UX Lead
Duration
1 week
Company
Concept project
Domain
Live Events · Concert Tourism · Consumer

01

The problem

A platform that goes beyond ticketing by integrating travel, stay, and social partners into one unified ecosystem. It becomes a single source of truth for fans — consolidating all bookings inside the user profile, simplifying planning, coordinating with friends, and reducing the mess of juggling multiple apps.

02

The approach

Document the gap between the value concert tourism generates and what event platforms actually capture, then design a unified flow that closes it — anchored in research, personas, journey mapping and iterative testing.

02.01

Design Process

01

Discovery Phase

Problem statement

Documented the gap between the value concert tourism generates and what event platforms actually capture. Competitive audit of BookMyShow, Ticketmaster and MakeMyTrip — mapped where users drop off and where money exits the ecosystem.

Business objective

Close the value gap by unifying ticketing, travel and stay into a single high-intent flow — increasing conversion, average order value, and partner revenue capture per fan.

02

Research Phase

12

Semi-structured interviews

18

Survey responses

3

Concert archetypes

18 mo

Recency screen

Market research & scoping

Analysed concert tourism trends across India, Southeast Asia and Europe. Scoped the platform to three user archetypes: domestic day-tripper, interstate traveller, and international fan tourist. Identified key integration partners by booking volume.

User research / Discovery

12 semi-structured interviews across 3 concert archetypes (local fan, out-of-city traveller, international tourist). 18 survey responses. Session-recording analysis of existing booking flows. Screened for users who had attended a concert requiring travel in the past 18 months.

03

Synthesise — Research findings

Users spend an average of 3.4 hours across multiple platforms planning a concert trip. Primary pain: no single source of truth for whether flights and hotels will be available when a ticket is confirmed. 74% reported discovering better hotel rates only after purchasing tickets, causing regret. Fans want artist-contextual recommendations, not generic travel options.

3.4 hr

Avg. planning time

74%

Regret over hotel rates

140+

Ideation concepts

2

Co-design workshops

Co-design workshops

Two 3-hour co-design workshops with 8 participants each — 4 fans, 2 event staff, 2 travel ops. Used Crazy 8s for rapid feature ideation, then affinity clustering to group 140+ concepts. Dot-voted to surface top themes, then mapped onto an impact vs. effort matrix to prioritise MVP features.

04

Design Phase — Prototype

Three core workflows

  • Event discovery → ticket purchase
  • Ticket confirmation → travel bundle
  • Post-booking fan dashboard

Low-fidelity testing

3 participants, moderated sessions. Think-aloud protocol throughout — observers noted verbal hesitations, unexpected navigation paths and moments of confusion without prompting. Captured CTA recognition (first-click accuracy), task completion rate and time-on-task.

Taking it forward — high-fidelity testing

Functional screens with the visual design layer presented to a wider sample to validate heatmaps, click-path analysis, CTA miss-rate by screen, and session recordings (n=60) for usage patterns.

02.02

User Personas

Two fan-side archetypes anchor the core flows — the devoted fan traveller and the occasional concert-goer — each with their own goals, fluency and failure modes.

🎤

Priya R., 26

The Devoted Fan Traveller

Background
"I'd follow this artist across the country, but the logistics always stress me out more than they should."
Goal
Plan and book a multi-city concert trip without juggling five apps.
Pain Points
  • Flight and hotel availability not visible before committing to a ticket purchase
  • Price-gouging on accommodation near events
  • No artist-specific hotel recommendations near the venue
  • Nothing shareable on social once the trip is booked
Needs
  • Flight + hotel availability surfaced on the event page
  • Artist-contextual hotel recommendations near the venue
  • A shareable 'trip' artefact for social
💑

Arjun K., 33

The Occasional Concert-Goer

Background
"I want to go with my partner, but by the time I've figured out everything it needs, I've lost enthusiasm for it."
Goal
A guided, low-effort planning experience — not a DIY toolkit.
Pain Points
  • Loses momentum during multi-app planning
  • Total trip cost is opaque until the very end
  • Multi-app checkouts cause abandonment
Needs
  • Transparent total trip cost upfront
  • Single unified checkout — ticket + travel + stay
  • Well-timed VIP / experience upgrade prompts

02.03

Customer Journey — Priya

Mapped Priya's end-to-end journey from artist announcement to post-event share, surfacing where emotion peaks, where it dips, and where the platform can intervene with the right moment of value.

01

Awareness

Action

Sees artist announcement on Instagram.

Thought

"Is this near me? Can I actually go?"

Emotion

Excited

Opportunity

Deep-link from social to the EventBooker event page.

02

Consideration

Action

Checks ticket prices, searches flights, googles hotels near venue.

Thought

"This is going to take forever to figure out."

Emotion

Frustrated

Opportunity

Show live flight + hotel availability on the event page before purchase.

03

Purchase

Action

Buys ticket on one platform, books flight on another.

Thought

"I hope the hotel near the venue isn't already sold out."

Emotion

Anxious

Opportunity

Bundle checkout — ticket + flight + hotel in a single cart.

04

Pre-event

Action

Receives separate confirmations, manually builds itinerary.

Thought

"I wish everything was in one place."

Emotion

Neutral

Opportunity

Unified trip dashboard with countdown, merch drops and setlist rumours.

05

At the event

Action

Uses ticket QR code, looks for merch queue.

Thought

"Where do I pick up the merch I ordered?"

Emotion

Elated

Opportunity

In-app venue map, merch pre-order, meet & greet slot confirmation.

06

Post-event

Action

Posts on social, discusses with friends.

Thought

"That was incredible. I'd do it again."

Emotion

Elated

Opportunity

Share trip-memory card, recommend next artist event, loyalty reward.

02.04

Information Architecture

EventBooker's IA is organised around four parent surfaces — Discover, Book, My Trip and Fan Hub — each focused on a single user job, with shared profile and perks across the app.

01

Discover

Surfaces

  • Event search
  • Artist pages
  • Near me
  • Genre filters
  • Wishlist
02

Book

Surfaces

  • Ticket selection
  • Flight bundling
  • Stay options
  • Fan services
  • Cart & checkout
03

My Trip

Surfaces

  • Active bookings
  • Itinerary view
  • Venue map
  • QR tickets
  • Merch orders
04

Fan Hub

Surfaces

  • Artist subscriptions
  • Community
  • Exclusive drops
  • Loyalty points
  • Profile & perks

02.05

Design Testing

Two phases — a moderated low-fidelity round to validate flow and CTA recognition, then an unmoderated functional round to surface behavioural patterns at scale.

Phase 1

Low-fidelity testing

Method

  • Task-based sessions with 10 participants on paper + greyscale prototypes
  • Think-aloud protocol — verbal narration of cognitive flow throughout each task
  • Observed CTA recognition and first-click accuracy on core flows
  • Measured task completion rate and unassisted error recovery
Phase 2

Functional prototype testing

Method

  • Unmoderated sessions with 60 participants (intercept recruited)
  • Heatmaps and click-density analysis across all key screens
  • Session-recording review for CTA miss moments and navigation drop-offs
  • Pattern detection: user behaviours across cohorts, experience quality tracking

02.06

Iterate

Each sprint cycle targets one measurable UX problem, tests a hypothesis, and validates impact before the next cycle begins.

  • Identify finding
  • Form hypothesis
  • Redesign
  • Test again
  • Validate metric

03

The outcomes guiding project road map

  • The biggest UX wins in concert tourism aren't in the booking screens — they're in the moments between apps.
  • Surface partner inventory at the moment of intent, not after the ticket is sold.
  • Emotional peaks (pre-event hype, at-venue joy) are the right moments to introduce upsell and loyalty, not interruption.

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