Product Governance Dashboard

Give product teams a clear, real-time view of feature adoption, usage quality, and platform health.

Problem

Product decisions were being made on gut feel and quarterly NPS surveys. There was no real-time visibility into which features were being used, by whom, or how often — making prioritisation conversations purely political. Three separate reporting tools created conflicting metrics.

Details

My role: Product Systems Designer

Duration: 2 months

Responsibilities: Analytics UX, data modelling, dashboard architecture

Tools

FigmaPostHogNeon

Highlights

This project was an opportunity to shift product teams from reactive reporting to proactive governance. The dashboard became the single source of truth for feature decisions.

CHAPTER 1

Discovery

Flying blind on feature adoption

Three separate analytics tools produced conflicting feature usage numbers
Sprint planning relied on stakeholder opinion rather than measurable adoption data

CHAPTER 2

Design

A governance layer, not just a dashboard

I designed the system around three views: adoption (are features being used?), quality (are workflows completing correctly?), and health (are there errors or drop-offs?). Each view maps directly to a product decision type.

CHAPTER 3

Outcome

Shifting from reporting to governance

Within 6 weeks of launch, the dashboard replaced three separate reporting processes. Sprint planning moved from opinion-based to metric-anchored, and feature flags were now paired with adoption thresholds.

Outcomes

15+

Product metrics tracked

Faster feature prioritisation

80%

Reduction in ad-hoc requests

Retrospective

Lessons

The most valuable design decision was linking every chart directly to a feature flag. It made the dashboard actionable, not just informational.

Tradeoffs

We focused on product metrics over business metrics in v1. Revenue attribution and cohort analysis were scoped to a dedicated finance view in v2.

Next step

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