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2023 · Mobile · Research led

Building enough trust to book a $1,500 gig

Slove connects musicians with venues to book live gigs. Real money changes hands, often over a thousand dollars a booking.

The original flow was one vague step: pay now, sort out the details later. Nothing about equipment, timing, or who was responsible for what. People reached the payment screen and backed out, because committing that much on that little felt like a gamble.

Velvet
89,1%match
4.6Lisbon, Portugal
Velvet950 $
Club | Loungeper gig
9:41
Discover
Café Angelina
95,8%match
4.5Stockholm, Sweden
Café Angelina1500 $
Bar | Night clubper gig
Discover
Search
Insights
Messages
Bookings
Stardust
92,3%match
4.7Berlin, Germany
Stardust1200 $
Live music | Barper gig
60% → 100%Task success (12 of 12, final usability round)
+15%Conversion rate
-18%Abandonment rate
+25%User confidence

My role

Solo product designer. Owned the full cycle from discovery calls and card sorting through to IA, prototyping, usability testing, and delivery. Shipped in 3 months.

  • Solo designer
  • User research
  • Information architecture
  • Usability testing
  • Visual design

What the research surfaced

75%

Couldn’t find event details

Basic event info was buried in the navigation. Users had to hunt for what should have been obvious.

7 of 12

Hesitated to pay

Without upfront equipment needs, timing, or responsibilities, paying felt like a leap of faith.

clarity ›

Transparency > speed

Users consistently preferred a longer, clearer process over a quick one-click payment.

The insight

I expected the fix to be fewer steps. The research pushed me the other way: users wanted more to go on before committing.

Every interview landed on the same thing: people would happily spend longer if it meant understanding what they were agreeing to. So I designed for clarity, even where that meant adding steps.

The redesign went out in 3 rounds, each one testing a specific fix with users before I moved to the next.

Round 1: swipe to scroll navigation

Swiping felt too much like a dating app. Scroll and dark mode gave a more professional feel.

swipe · scroll
9:41

Discover venues

Stockholm, Sweden

Café Angelina

rating4.5

1500 $

per gig

Music genre

Bar
Night club

Match

95,8%
Copenhagen, Denmark

Stardust Lounge

rating4.7

1800 $

per gig

Music genre

Cocktail bar
Live music

Match

92,3%
Berlin, Germany

The Velvet Vault

rating4.6

2200 $

per gig

Music genre

Speakeasy
Jazz

Match

88,7%
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Discover
Profile
9:41

Discover

95,8%
match
4.5
Stockholm, Sweden
Café Angelina
Bar | Night club
1500 $
per gig
92,3%
match
4.7
Copenhagen, Denmark
Stardust Lounge
Cocktail bar | Live music
1800 $
per gig
88,7%
match
4.6
Berlin, Germany
The Velvet Vault
Speakeasy | Jazz
2200 $
per gig
94,1%
match
4.4
Amsterdam, Netherlands
Neon Atrium
Concert hall | Electronic
2500 $
per gig
Discover
Search
Insights
Messages
Bookings
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swipe — feels like dating

Round 2: “likelihood” became “match %”

Made cards fully clickable, cut the info density, and rewrote confusing booking-probability copy.

before · after
Equinox
Likelihood: 95.8%
95,8%
match
Simplifying…
Equinox
Hip-hop | Rap | House · Stockholm, Sweden
Likelihood
95,8% — high booking probability
Based on genre overlap, response history, calendar availability and prior venue audience match.
Shows: 124Avg reply: 6h$1500/gig
4.5
Stockholm, Sweden
Equinox
Hip-hop | Rap | House
1500 $
per gig
only this is clickable

Round 3: credibility signals on profiles

Venue profiles felt unreliable, so I added proof of played gigs, upcoming events, and social links.

no proof · now feels legit
No reviews · No history · No socials
adding proof
4.8(243)
0gigs played
3upcoming
Socials
feels unreliable

A deliberate trade-off

Booking time went up. Everything else went up too.

The new flow takes almost twice as long. But task success, confidence, and conversion all improved because users finally understood what they were agreeing to before hitting “pay.”

60% → 100%Task success rate

+15% conversion rate · -18% abandonment rate · +25% user confidence. Task success measured in moderated tests with 12 users. Confidence self-reported in a survey shown right after the flow.

Reflection

Adding steps is what built the trust. People needed to understand what they were agreeing to before they’d pay, and a one-tap checkout never gave them that.

This was the project that taught me to trust the research over the obvious answer. If you’re designing for trust in a high-stakes flow, payments, bookings, anywhere people hesitate before committing, I’d love to compare notes.

natalia.wlwsk@gmail.com →