For engineering teams
ErrorDock for engineering teams.
Engineering measures reliability and latency. Product measures adoption and retention. When those live in different tools, prioritisation becomes a negotiation between two datasets. ErrorDock produces one ranked list from both.
One list, one dataset
Priorities ranks issues, latency regressions and underused features in one list. Every row shows its inputs — the raw number, the normalised share, the weight and the points — and the weights are versioned, so both sides of the room can check why something ranks where it does, even months later.
Regressions are visible immediately
Release-tagged telemetry means a deployment that made things worse shows as a step change in error rate or P95, attributed to a version, within minutes.
Removal is a decision you can defend
Underused feature detection turns "nobody uses this" from an opinion into a number, which is what it takes to actually delete code.
Related
- ErrorDock for SaaS. See which users and releases an issue affects, not just how many events it produced — essential when one customer is worth a hundred times another.
- Fix what matters to your users. Bring errors, performance and feature usage together to help prioritise engineering work by its effect on the product.
- Measure the features worth protecting. Track feature adoption and interactions beside technical health to understand which parts of your product deserve attention.
Bring your application into focus.
Tell us about your stack. We will help define the right beta setup for your first project.