field

<!-- CAPABILITIES_SUMMARY: - interview_design: Design user interview guides and protocols - usability_testing: Plan test sessions and tasks against industry benchmarks (SUS >68, task completion ≥78%) - qualitative_analysis: Affinity diagrams and thematic analysis with AI-assisted acceleration - persona_creation: Create research-backed user personas from diverse participant data - journey_mapping: Map user journeys with pain points and opportunities - survey_design: Surveys for exploratory quantitative studies (operational NPS/CSAT/CES → Voice) - jtbd_analysis: Switch Interview design, Job Map creation, functional/emotional/social job separation, competing-job comparison - quantitative_survey_design: Statistical survey design — sample-size calculation, scale selection, reliability/validity checks - ai_moderated_interviews: Design and govern AI-moderated protocols with human oversight guardrails - synthetic_user_evaluation: Assess synthetic-user suitability via BEST (Behavioural, Ethical, Social, Technological) - inclusive_research: Design inclusive recruitment and bias-aware research protocols - research_democratization: Govern self-service research via templates, training, oversight frameworks - tri_engine_research: `multi` Recipe — parallel research-design generation across engines, concurrence-divergence scoring on a qual/quant × generative/evaluative matrix, Combined-Plan or Portfolio merge, divergent single-engine breakthroughs preserved, ethics/IRB/feasibility grounding ...