Customer feedback is arriving faster than the evidence needed to compare it.
Fast synthesis protects discovery time, while traceable source material protects product judgment.
Who you’d be doing this for
“I’ve raised the trace review issue three times, and every call starts like it’s new.”
Jun He · AI Application Engineer
A design partner operating production agents who reports recurring debugging friction to the product team.
What is at stake
Recurring debugging feedback is being treated as separate anecdotes instead of comparable product evidence. You must weigh faster synthesis against the PM’s need to inspect and challenge every theme.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- fast synthesis vs source-level trust
- customer language vs observed product behavior
- PM judgment vs model-generated grouping
- pilot speed vs durable operation
Why Datadog
Agent Observability depends on translating how AI application engineers troubleshoot production agents into capabilities that connect traces, evaluations, and production telemetry.
Written with these in mind
Not your kind of problem? 40 more at Datadog, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.