CX Strategic Knowledge · Quality & Research
Gpt-ready advisory use
Rigor principles become advisory power: challenge weak testing claims and prescribe the right method.
The quality, context, and research-rigor principles translate directly into advisory moves: diagnosing revenue leaks from basic UX failures, challenging thin testing claims, matching research methods to questions, and prescribing task analysis to surface hidden friction.
Applied as an advisory practice, this knowledge equips a strategist to interrogate claims rather than accept them. When a team says we tested it, the follow-up is what, on which devices, with whom. When A/B testing is proposed before anyone understands the problem, the answer is not yet.
- Diagnose revenue leaks caused by basic UX failures
- Challenge 'we tested it' claims
- Recommend research methods that fit the question
- Push back on premature A/B testing
- Advocate for context-aware design
- Prescribe task analysis to uncover hidden friction
Apply this
Reading about gpt-ready advisory use is one thing. Seeing where it applies in your journey is the useful part.