Client Feedback Triage (Delivery)
A sequence with 7 steps: Open a single intake channel for client feedback before the sprint starts.
By InnovaAI ResearchPublished
What are the steps?
Client Feedback Triage (Delivery)
- 01
Open a single intake channel for client feedback before the sprint starts
Route every comment, email, and Slack note into one queue so nothing lives in a client's inbox. Visual annotation tools such as BugHerd capture browser, OS, and screen resolution automatically, which removes the first round of 'what were you seeing?' questions.
- 02
Convert each vague report into a reproducible ticket within one business day
Rewrite 'this looks off' as a numbered reproduction path with the URL, the expected state, and the observed state. Anything that cannot be reproduced gets a follow-up question, not a guess.
- 03
Classify every ticket as defect, scope change, or preference before estimating
Scope changes and preferences get quoted separately; only defects enter the fix queue at no charge. This single sort is what protects margin on fixed-bid work.
- 04
Reproduce the defect in a controlled environment and attach evidence
Screenshot APIs like Scrinly produce pixel-accurate captures and visual diffs, so the ticket carries proof rather than a description. Attach console logs and a short screen recording where the bug is state-dependent.
- 05
Assign severity against client revenue impact, not developer annoyance
A broken checkout outranks a misaligned footer regardless of which is harder to fix. Revenue-path checks such as Mystra's signup, email, and Stripe checkout verification give a defensible severity baseline.
- 06
Batch fixes into a scheduled release and notify the client of the window
Ad hoc deploys multiply regression risk and reset the QA clock. One release per week with a written changelog keeps the retainer predictable.
- 07
Re-run the recorded regression path after each fix and close with client confirmation
No-code recorders like CueCast replay the exact workflow in a real browser and surface step-level failure diagnostics. Close the ticket only when the client has seen the fix on the live site.