jtbd-research
Research Jobs-to-be-Done — the progress customers seek in specific circumstances — to inform product and messaging strategy. Use when uncovering why customers hire products, mapping job stories, or reframing markets around outcomes.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- jtbd-research
- description
- Research Jobs-to-be-Done — the progress customers seek in specific circumstances — to inform product and messaging strategy. Use when uncovering why customers hire products, mapping job stories, or reframing markets around outcomes.
03 SKILL.md 正文
JTBD Research
Overview
Jobs-to-be-Done research focuses on the functional, emotional, and social progress people seek when they “hire” a product or solution in a context.
When to Use
- Product strategy and roadmap framing
- Messaging and positioning grounded in jobs
- Switching and adoption research
- Innovating beyond feature comparison
Core Practices
- Interview around recent real choices and timelines
- Map forces: push of the old, pull of the new, habits, anxieties
- Distinguish job (progress) from solution (product)
- Document circumstances and success criteria in the customer’s language
- Prioritize jobs by importance and dissatisfaction where measured
- Translate jobs into product and messaging implications
Principles
- People buy progress, not products
- Hypothetical “would you use” is weaker than reconstruction of real hires
- Jobs are stable relative to solutions
- Emotional and social jobs are real, not soft add-ons
Verification
- [ ] Insights are grounded in real choice narratives
- [ ] Jobs are stated as progress, not feature wishlists
- [ ] Implications for product/messaging are explicit
04 同仓库更多 Skills
compliance-monitoring
Design compliance monitoring and testing programs that verify controls work in practice and surface issues before regulators do. Use when building monitoring plans, compliance testing, or continuous control monitoring.
complaints-handling
Operate complaints-handling processes that meet regulatory standards — logging, timely resolution, root-cause analysis, and fair outcomes. Use when designing or improving regulated complaints frameworks or analyzing complaint themes for conduct risk.
aml-kyc-basics
Apply AML/KYC fundamentals — customer due diligence, monitoring, suspicious activity escalation, and recordkeeping — for financial crime compliance. Use when designing onboarding controls, transaction monitoring concepts, or AML program components in financial services.
ai-model-compliance
Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.
data-quality-management
Manage data quality end-to-end — dimensions, rules, remediation, and prevention — beyond one-off cleaning scripts. Use when building sustained data quality programs or fixing systemic accuracy, completeness, or consistency problems.
data-lineage
Capture and use data lineage — where data comes from, how it transforms, and what depends on it — for impact analysis, debugging, and trust. Use when tracing metric origins, assessing change impact, or diagnosing broken pipelines.