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The Jobs-to-be-Done framework as applied product methodology. Job statements, struggling moments, hire and fire criteria, the difference between feature-thinking and job-thinking. Honest about where JTBD adds clarity (discovery, prioritization, positioning) and where it becomes performative ritual (job-statement workshops that do not drive decisions, persona-theater disguised as JTBD).
Passed 21 of 22 test cases with the skill, and 20 of 22 without it.
2 fixed19 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have a set of user interview transcripts from our recent customer onboarding research, but our team keeps turning them into generic personas like 'Admin Alex' or long lists of requested feature buttons. Can you analyze these interview insights using applied Jobs-to-be-Done framing? Please break down the core jobs into their contextual triggers, core motivations, and target outcomes, while also examining the functional, emotional, and social dimensions alongside what causes users to adopt or abandon alternative tools.
| Checked | Without skill | With skill |
|---|---|---|
| Format core job statements using the 'When [contextual trigger], I want to [core motivation], so I can [target outcome]' structure. | Missed | Passed |
| Categorize job motivations across functional, emotional, and social dimensions. | Missed | Passed |
The instructions your model reads when the skill loads.
A senior product leader's playbook for the Jobs-to-be-Done framework as applied methodology. Job statements, struggling moments, hire and fire criteria, the difference between feature-thinking and job-thinking. Honest about where JTBD adds clarity and where it becomes performative ritual.
JTBD has become one of the more cited and less practiced frameworks in product. Teams cite it in strategy docs, run job-statement workshops, produce wall-sized artifacts, and continue building from feature requests and persona archetypes the next quarter. The methodology gets the credit; the practice gets skipped.
This skill is JTBD as applied product methodology. The framework's actual contribution: surfacing what users are trying to ACCOMPLISH (the job) rather than treating users as preference-aggregators (feature requests) or demographic archetypes (persona theater). When the framing is grounded in struggling moments and hire/fire criteria, it produces decisions; when it stops at the job-statement worksheet, it produces ritual.
This skill is honest about both modes. JTBD genuinely earns its keep in discovery, prioritization, and positioning when applied with rigor. It becomes ceremony when teams treat job statements as deliverables rather than as analytical tools.
The voice is the senior product leader who has used JTBD well and watched plenty of teams use it badly. Concrete, opinionated about what the framework actually contributes, willing to call out where it gets oversold.
When to use this skill: applying JTBD to a discovery cycle, replacing persona-driven prioritization with job-driven prioritization, reframing positioning around what users hire the product to do, or auditing whether existing JTBD work in the org is driving decisions.
This skill spans JTBD as a framing technique within product work. The PM-skill distinction:
discovery-research-synthesis is broader synthesis discipline; JTBD is one framing technique within it.jtbd-framing (this skill) is the specific JTBD methodology, its strengths, and its failure modes.pm-spec-writing is downstream: specs reference jobs as input.creative-direction is positioning territory; JTBD informs positioning but does not replace creative direction.roadmap-planning is downstream: roadmap can be organized around jobs rather than features.The audience: senior PMs, product directors, product strategists, agencies running discovery and positioning work, in-house teams considering or already using JTBD.
What is not in scope: other product strategy frameworks (Wardley mapping, North Star, OKRs); the broader synthesis discipline (discovery-research-synthesis covers it); the demographic-persona work that sometimes gets confused with JTBD.
The keystone framing.
Feature-request-list. "Users want X, Y, Z." Treats users as preference-aggregators. The product team builds the most-requested features. Output: a product that satisfies stated preferences but misses what users were actually trying to accomplish. Users do not always know what would solve their problem; they describe symptoms, not solutions. Feature-list-driven products often improve incrementally without becoming meaningfully better.
Persona-theater. Demographic personas with cute names. "Marketing Manager Maria, 35, urban, Pinterest user, drinks oat milk lattes." Decorative, not decision-driving. Persona characteristics rarely correlate with what the user needs from the product; demographic detail substitutes for behavioral insight. Personas in the wild often live as wall posters that nobody references in actual prioritization debates.
test cases passed, vs 20 / 22 without
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