Dining Jobs Product Philosophy
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_38f0802a/jobs.
About this skill
What Problem It Solves
In restaurant and consumer operations, the hard part is often not generating ideas, but connecting ideas, data, priorities, and execution. This skill turns Jobs-style product philosophy into an executable analysis framework: define the key problem, match a method, then output prioritized actions and review checkpoints. It fits product positioning, store operations strategy, and process improvement discussions that need structured judgment rather than open-ended brainstorming.
How It Works
The skill follows a four-step workflow:
- Problem definition and information gathering: clarify the current core issue and organize the background data provided.
- Framework matching and deep analysis: load relevant methods from references/, including core, application, and advanced guides, only when needed.
- Solution generation and prioritization: output top actions using a “numbers first, tiered presentation” style, and make them executable: who does what by when.
- Execution and review: use templates such as assets/checklist-quick-start.md and assets/template-analysis.md, and set 2-4 week review checkpoints.
Boundaries and Notes
The skill emphasizes transparent assumptions: when real data is missing, it may use industry or theoretical baselines, which should be labeled clearly. It works best when the input includes measurable business context. If the request is only a vague goal, basic facts such as customer segment, scale, cost, and target should be added first. Case files can inform structure, but they should not be treated as store-specific conclusions.
Use Cases
- A restaurant manager uses this skill to turn average ticket, order mix, and margin data into Top3 menu improvement actions.
- An area operations lead uses the four-step workflow to document problem definition, framework, execution steps, and 2-4 week review checkpoints for service redesign.
- A business analyst uses clearly labeled baseline assumptions to list expansion decision criteria and missing data during a store growth review.
- A product owner uses the review template to summarize pilot metric changes and set next-round priorities and owners.
Best For
- A restaurant store manager who wants to turn menu, service, and flow changes from intuition into structured, reviewable decisions.
- An area operations manager who needs to prioritize multi-store pilot actions and set 2-4 week metric tracking.
- A dining product owner who wants to break experience feedback into problem definition, assumptions, and prioritized actions.
- A business analyst who needs to provide restaurant operations advice with clearly labeled baseline assumptions when data is incomplete.
Related Skills
Supports multi-dimensional analysis across industries, products, brands, and channels, and produces decision-grade research reports.
Provides phase-based guidance for Yonyou NC/U9/YonBIP implementations, covering scenario tasks, risks, templates, and YIDM V3.0 intelligent delivery.
Applies Deming quality management, PDCA, process optimization, and statistical process control to output data-first diagnostics, Top 3 actions, and fillable templates.
Apply Ries and Trout positioning theory to F&B operations for problem scoping, framework matching, prioritized strategy, and actionable rollout.