// MKT
T009
v1.0
AI User Journey Review
Simulate key user flows to spot friction before you run full user research.
ABOUT
About this task
A journey-based review that uses AI-assisted walkthroughs to flag likely confusion, trust gaps, and conversion friction in your product or website. This does not replace interviews or live usability testing; it is a fast diagnostic pass.
SPEC
Input / output spec
INPUT_REQUIRED
- Site or product URL
- Flows to review
- Target user profile
- Success criteria or weak spots
OUTPUT_DELIVERED
- Journey review report
- Annotated friction points
- Copy and UX issues
- Prioritized recommendations
PROCESS
Execution flow
01 → Share the relevant assets, links, transcripts, exports, or samples.
02 → Receive a scope-specific quote and ETA in under 5 minutes.
03 → We analyze the workflow, draft the deliverable, and rank the highest-leverage next moves.
04 → A human reviewer tightens the output and removes noise.
05 → Get a ready-to-use report or workflow spec your team can act on next.
TARGET
Who it is for
Best for teams that need a fast read on UX friction before investing in broader research.
DESCRIPTION
Suggested task description
The public API only needs a plain-language description. Copy this, then replace the team context, export link, and output language as needed.
Copy this description into the task description field
Review our main user journeys with AI-assisted walkthroughs and identify where users are likely to get confused, lose trust, or abandon the flow. This should be framed as a diagnostic review, not a replacement for live user research. Prioritize concrete UX and copy fixes. Output in English.