Confidential (mock) · 2023
Confidential fintech analytics
Mock case study. Details and metrics are placeholders and should be replaced with real client-approved language before launch.
Context
The dashboard had grown over time: new charts were added for each request, and the page became both slow and hard to scan. People exported data just to answer routine questions.
What we did
- Defined the top decisions the dashboard should support (not the full universe of metrics).
- Reduced chart count and consolidated repeated views.
- Introduced progressive disclosure: summary first, detail on demand.
- Performance pass: caching strategy, query consolidation, and lighter client rendering.
Outcomes (placeholders)
- Time-to-answer improved by 30–50% for common questions.
- Load time improved by 2–4× on typical sessions.
- The team gained a set of patterns for future dashboards.
Implementation notes
- Keep the dashboard opinionated. If everything is “important,” nothing is.
Outcomes
- Reduced time-to-answer key questions (placeholder: -30% to -50%)
- Improved dashboard load time (placeholder: 2–4× faster)
- Established a reusable dashboard pattern library