For SaaS
ErrorDock for SaaS.
In a multi-tenant product, the number of events an issue produces says very little about how much it matters. ErrorDock ties errors and feature usage to users and releases, so an issue can be assessed by who it affects and when it started.
Impact by user, not by count
An exception firing ten thousand times for one trial account is a different problem from one firing forty times across forty accounts. Event count cannot tell those apart; affected users can.
Feature adoption you can act on
Adoption counts the distinct users who reach each feature against your active users, and underused features are flagged. That answers questions that come up constantly in SaaS: whether anyone still depends on the feature being deprecated, and which features your users actually reach.
Prioritisation everyone agrees with
Priorities gives engineering and product one ranked list of issues, latency regressions and underused features, with the inputs behind every row, which removes a recurring argument about whether a bug or a feature comes first.
Related
- ErrorDock for engineering teams. One ranked list built from reliability, performance and adoption, so engineering and product argue about the data rather than about whose tool is right.
- 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.