Turn scattered feedback into a weekly evidence packet.
Group recurring customer feedback, compare it with product behavior, and prepare a source-linked brief without overstating anecdotal evidence.
A weekly feedback brief with themes, evidence strength, affected journeys, and open questions.
Human sign-off requiredA weekly feedback brief with themes, evidence strength, affected journeys, and open questions. Prepared for review, never posted.
How this composition works.
This workflow combines approved support discussion with product analytics to identify patterns worth investigating. It preserves the distinction between qualitative reports and measured behavior, cites representative evidence, and records uncertainty so product teams can decide what deserves follow-up.
Collect support themes
Find recurring approved feedback and retain links to representative reports.
Check observed behavior
Compare reported friction with relevant product events and funnels.
Validate the pattern
Use a second authorized analytics view where the question requires it.
Update the evidence register
Record themes, strength, owners, and unresolved questions.
A human signs off
Product owners decide priorities; the agent does not convert anecdotes into roadmap commitments.
A weekly feedback brief with themes, evidence strength, affected journeys, and open questions.
Human sign-off requiredA weekly feedback brief with themes, evidence strength, affected journeys, and open questions. Prepared for review, never posted.
Composed from the tools customer support already uses.
Slack. Read channels and messages, post messages, and upload files as your Slack bot.
PostHog. Query product analytics, investigate errors, and manage insights, experiments, feature flags, and CDP workflows.
Mixpanel. Access Mixpanel projects to query events and properties, edit them, and create tags.
Airtable. Query and create Airtable tables, fields, and records.
Optional skills add method and verification.
Ticket Triage. Summarize and classify a support issue, suggest priority and routing, and identify missing evidence. Use for new tickets, duplicate checks, escalation intake, or queue review. See the playbook →
Data Validation. Validate an analysis before sharing by checking lineage, methodology, calculations, bias, visualizations, and whether conclusions follow. Use for SQL, spreadsheets, dashboards, or reports. See the playbook →
Put your customer support workflow under policy. Tell us what your team repeats today.
More for customer support.
Support queue triage
Summarize and classify new support requests, ground suggested responses in approved knowledge, and escalate anything outside the playbook.
See the workflowEscalation digest
Collect escalations and linked engineering issues from the overnight window, group them by cause rather than by ticket, and prepare a digest for the standup.
See the workflowSupport theme brief
Read the week's resolved conversations, cluster them into recurring themes with counts and quotes, and prepare a brief for the product review.
See the workflow