FLAGSHIP CASE STUDY · 2026

Wisp

Building a bilingual relationship-pattern product from psychology logic to a measurable, deployable system.

ROLE Product / BA / UX / Systems / Build
69.3%TEST COMPLETION
101RECORDED STARTS
70COMPLETIONS
EN / MYLOCALIZED RESULTS
01

Problem

Relationship advice is often generic, while clinical language can feel distant. Wisp needed to be useful and personal without pretending to diagnose people.

02

Product system

A structured test classifies a primary and secondary relationship pattern, then turns answer signals into a guided result and next steps.

03

Decision logic

Psychological classification stays deterministic. AI is used only for controlled explanation and tone, with approved wording and fallback content.

04

Built end to end

Bilingual EN/MY results, user flows, analytics, Google authentication, SQLite ownership, paid-session operations, deployment, and cost controls.

05

Learning

The strongest product work is not a screen—it is the chain connecting user need, logic, wording, operations, measurement, and sustainable cost.

SYSTEM VIEW
USER ANSWERSFIXED LOGICSAFE PERSONALIZATIONRESULT + NEXT STEP