
See the customer behind the issue.
An error issue weighted by users affected, next to what those customers were trying to do. Hand the theme to Linear, Jira or GitHub with the evidence in the body.
Your week.
Three moments where the error tracker tells you something broke and nothing tells you what was at stake.
Triage without a repro
An error issue arrives with a count and a stack trace. Nobody can say what the customer saw.
Investigate product changes“Is eight users a lot?”
Users affected is a count, not an impact. Put it next to what those customers were trying to do.
Prioritise what to buildHandoff with context
The next engineer needs the question, the records and the scope, not a link to a dashboard.
Hand over the context
The handoff you give the next engineer.
Send a theme to a supported issue tracker with its evidence in the body. You start it; nothing is filed on its own.
The issue, with the customer still attached.
What the customer was trying to do travels with the error, into the issue your team works from.
Error issues weighted by users affected.
A count becomes an impact when it sits next to what those customers were trying to do.
What the customer was doing, next to the error.
The stack trace on one side, the conversation on the other, in the same record.
Filed with the evidence in the body.
Send the theme to Linear, Jira or GitHub Issues. The quotes and the numbers go with it.
What adduce does and does not prove.
Does this replace our error tracker?
Can it prove an error caused the customer problem?
Will it implement a fix or create issues automatically?
Built onConnectSynthesizeAct
Bring customer context into the next technical decision.
Start with the signals behind a problem your team needs to understand.