Can use failure-interpretation with a defined task, suitable inputs, and a basic validation check.
augmented skill · Stage 07
Failure-interpretation
Anchor skill
Failure-interpretation is the discipline of "why," not just the "that". It helps a designer test real experience quality and interpret why people succeed or struggle while keeping the final judgment traceable and human-owned.
Why it matters
This is an anchor skill. Weakness here limits maturity for the entire Experience Validation stage because it protects the non-negotiable human checkpoint.
Stage outcome
Validate the crafted experience against real users and objective heuristics before build commitment
What good looks like
01
Frames failure-interpretation against a clear goal, relevant evidence, and the stage quality gate.
02
Directs AI with scoped inputs, reviews uncertainty, and redirects weak or unsupported output.
03
Documents the decision, trade-off, correction, or override so another designer can follow the reasoning.
Checkpoint application
Apply this skill before the Stage 07 gate is approved. The accountable designer must be able to explain how it changed the work, what evidence was considered, and why the result is safe to advance.
Common failure patterns
- Treating a clean heuristic or synthetic score as proof of real-world usability.
- Accepting fluent or high-confidence output without testing its evidence, assumptions, exclusions, and downstream effects.
- Recording the final artefact while omitting the rejected option, correction, trade-off, or override that explains the decision.
Five-minute practice
Use it on the work you already have.
Take one current experience validation artifact. Apply failure-interpretation for five minutes, then record one AI contribution, one human correction, and the evidence that justified the final decision.
Evidence of capability
- A reviewed test plan, observation record, accessibility review, or prioritised finding showing the skill in use.
- A short rationale linking the decision to evidence, risk, and intended outcome.
- An example of an AI suggestion that was corrected, rejected, or deliberately accepted.
Leadership assessment questions
01
Can the designer demonstrate failure-interpretation on a real experience validation decision?
02
What observable evidence distinguishes competent performance from confident explanation?
03
Would weakness in this skill make the human checkpoint ceremonial rather than protective?
Maturity ladder
Can diagnose weak output, redirect the work, combine sources, and explain the resulting trade-off.
Can decide when not to delegate, own the human checkpoint, and remain accountable for the outcome.
Backlinks and relationships