Assess Experience Quality

Optional inputs

• Baseline metrics (completion rate, time-on-task, error rate)
• Prior usability test findings
• Design heuristics to apply

Upstream context

Works best when:

• Usage data or qualitative feedback exists
• UX research findings are available

If upstream context is missing

Produce a heuristic assessment framework and flag that data-based assessment requires actual signals.

Downstream handoff

Output can feed:

• manage-design-handoff (issues to address in next design iteration)
• run-usability-testing (validate fixes)
• formulate-experiment-hypothesis (test experience improvements)

Instructions

1. Map the flow being assessed step by step.
2. Apply experience quality criteria: discoverability, clarity, efficiency, error recovery, trust.
3. Identify friction points with supporting evidence.
4. Assess severity: critical (blocks task) / major (causes confusion) / minor (annoyance).
5. Identify quick wins vs. structural issues.
6. Recommend specific improvements.

Output

Provide:

• Flow map with quality assessment per step
• Friction points by severity
• Heuristic violations (if applicable)
• Quick wins and structural improvements
• Metrics impact estimation (qualitative)
• Confidence level in the assessment (evidence-based or heuristic-only)

Risks / caveats

• Heuristic assessment is a starting point, not a substitute for user observation
• Do not overstate severity — not all friction is a critical issue
• Distinguish between aesthetic issues and usability/task-completion issues