Sinthu Nathan
02 / Sip & Serve TCO

A growth loop built from scratch, product, revenue, community, analytics

A PWA for a 478-member club, ticketing, surveys, live NPS/CSAT and community, built solo with AI and measured commercially.

A growth loop built from scratch, product, revenue, community, analytics

In short

As a voluntary board member I built and shipped Sip & Serve TCO, a PWA with ticketing, surveys, live NPS/CSAT and community features, solo, with AI as coding partner, for a 478-member club.

The result: a sold-out event, NPS +66, organic reach +1,186% and a feedback loop the board now plans the next edition on.

The challenge

The club wanted a new flagship event but had no way to sell tickets, hear from members or measure success beyond a headcount.

  • No digital channel for ticketing or check-in
  • Member feedback anecdotal, never structured
  • Volunteer team of four with limited time
  • No baseline to judge the next edition against

Tennis Club Odense needed a solution that could:

  • Sell tickets and check members in without manual admin
  • Capture pre- and post-event feedback inside the same product
  • Show live NPS/CSAT the volunteer team could act on
  • Grow reach and the team without a budget
The solution

From a headcount to a measured growth loop

I built the platform end to end: PWA, auth, MobilePay ticketing, QR check-in, pre/post surveys, live NPS/CSAT, admin dashboard, push notifications, EN/DA. Discovery with volunteers, survey design and iteration followed the same method I use professionally.

Built with Claude as copilot in VS Code: front end and Supabase backend with Resend and GitHub integrations, deployed manually on Netlify. AI also assisted the survey design, analysis and comms. Design decisions, member conversations and trade-offs stayed with the team.

Key value drivers

  • Revenue and capacity data in real time
  • Member sentiment captured, not guessed
  • Next edition briefed on evidence
  • Team grown 4 → 15 on the momentum

Tasks solved by the platform

  • Ticketing, check-in and waitlist
  • Pre/post surveys with live NPS/CSAT
  • Community gallery and communications

Challenges solved

  • Manual admin
  • Anecdotal feedback
  • No success baseline
  • Limited reach without budget
Results

What changed.

+66
NPS, 29 responses
65+
Participants on the day
38/38
App tickets sold out · 12 on waitlist
124.6k
Organic Facebook views (+1,186%)
  • Sold out, 38/38 tickets, 12 on the waitlist, 65+ participants.
  • NPS +66 (29 responses) · 9.4/10 would recommend.
  • Organic reach +1,186%, followers +400%, event team 4 → 15.
  • Two pre-event articles and TV2 Fyn coverage on the day.
“The slam took all the lights, and rightly so. So much fun!”
Francisco S. Acosta · member, post-event survey · verbatim
Insight → action

From survey to decision, one loop, closed

Pre- and post-event surveys ran inside the app. What members said, and what the board did with it.

+66
NPS · 29 responses
9.4 / 10
Recommend to a tennis friend · post-event
4.5 / 5
Concept rating before the event · 18 responses
82%
'Perfect balance tennis / social' · 9 of 11
  1. Insight 1

    63% want more matches; 82% call the tennis/social balance 'perfect'.

    Action

    Next edition: more court time, same social format.

  2. Insight 2

    52% knew about the event more than a month ahead.

    Action

    Long comms runway and press timeline kept as the club standard.

  3. Insight 3

    12 on the waitlist after 38/38 sold out; 6 more sold at the door.

    Action

    Capacity and ticket tiers first on the next-edition agenda.

“Klubben var virkelig fint pyntet og fællesskabet var i fokus.”
Annika Jarl, member
“The slam took all the lights, and rightly so. So much fun!”
Francisco S. Acosta, member
Product gallery

The Sip & Serve TCO admin dashboard, live analytics, surveys, comments.

Sip & Serve admin dashboard screenshot 1Sip & Serve admin dashboard screenshot 2Sip & Serve admin dashboard screenshot 3
Reflection

What I’d do differently.

Live analytics change how a volunteer team behaves. A real-time NPS chart did more than any post-event report could.

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