Conciseness

The skill is fairly comprehensive but includes some unnecessary explanation that Claude would already know (e.g., explaining what NPS passives/detractors are, explaining that online reviewers skew toward power users). The persona anti-patterns section and some of the extraction framework explanations could be tightened. However, much of the content is genuinely useful domain-specific guidance rather than basic concept explanation.

Actionability

The skill provides concrete frameworks, templates, and structured extraction approaches. The persona structure template, research synthesis template, and extraction field tables are directly usable. However, it lacks executable code or specific search operator examples (it references 'references/source-guides.md' for those), and some guidance remains at the instructional level rather than copy-paste ready.

Workflow Clarity

The two-mode structure is clear, and the synthesis steps provide a logical sequence. The 'Questions to Ask Before Proceeding' section establishes a good starting workflow, and the confidence-level labeling acts as a validation checkpoint. However, there's no explicit feedback loop for validating research conclusions with the user before building deliverables, and the overall end-to-end flow between modes could be more explicitly sequenced.

Progressive Disclosure

The skill references 'references/source-guides.md' for detailed platform playbooks, which is good progressive disclosure. However, no bundle files are provided, so we can't verify that reference exists. The skill itself is quite long (~250+ lines) and some content like the full persona template and detailed asset-type guidance could potentially be split into reference files. The related skills table at the end is well-structured for navigation.

Specificity

Lists several specific actions: 'conduct, analyze, and synthesize customer research' along with concrete methods (surveys, interviews, community mining) and outputs (personas, jobs-to-be-done). Minor gaps—doesn't elaborate on what 'community mining' entails or other deliverables.

Completeness

The 'what' is clearly stated with concrete actions and outputs, but there is no explicit 'when' clause (e.g., 'Use when...'). The absence of a 'Use when' trigger guidance caps this at 3 per the rubric guidelines.

Trigger Term Quality

Includes strong natural keywords like 'customer research', 'surveys', 'interviews', 'personas', and 'jobs-to-be-done'. Missing some common synonyms or variations like 'user research', 'JTBD', 'user interviews', 'customer discovery', or 'market research' that users might naturally say.

Distinctiveness Conflict Risk

Fairly distinct with its focus on customer research methods and specific outputs like personas and jobs-to-be-done. Minor overlap risk with general market research or UX research skills, but the combination of methods and deliverables creates a reasonably clear niche.