Quality and performance improvements¶

Problem¶

Post-launch usage data will reveal quality and performance issues in connector dashboard packs that matter to users: slow-loading dashboards caused by unoptimized queries against large connector tables, KPI definitions that produce confusing or inaccurate results for certain data shapes, and narrative flow problems where dashboards don't tell a coherent story. These issues directly affect user retention and trust. Without tying quality and performance improvements to measurable user-facing outcomes (load time, engagement rate, support ticket volume), the team risks optimizing things that don't matter while ignoring the pain points that drive users away.

Quality and performance improvements¶

Problem¶

Context¶

Possible Solutions¶

Plan¶

Implementation Progress¶

Review Feedback¶