Write the problem hypothesis
For [specific user], completing [job] is difficult because [missing capability], causing [measurable consequence].
You can name one user, one situation and one measurable consequence without proposing a feature.希望可以支持gemini模型，还有stitch的导入
Evidence observed in ZSeven-W/openpencil, a Design project.
4 comments0 positive reactions188 days openProject Radar 91
enhancement
Start free validation sprint4 guided steps · private notes · cloud sync
REPEATED ACROSS 8 PROJECTS
Related friction appears in 8 independent repositories. This is stronger than one backlog item, but still requires direct user validation.
Project strength and demand confidence are measured separately.SOURCE EVIDENCE
Read original GitHub Issue ↗Start with what users actually said
Reporter context: Problem codex和claude的审美不好，gemini模型的审美要好些 Proposed Solution 支持gemini模型，希望还可以支持google的stitch导入 Alternatives Considered No response Area None Additional Context No responseExcerpted from the public Issue. Read the complete thread before interpreting it.
Recruit: Recruit practitioners with a current brief, asset handoff or revision cycle that can be observed end to end.
Guardrail: Keep a human quality review and measure accepted output, revision count and cycle time.
Interview five designers or creative leads
- When did you last need this?
- What outcome were you trying to reach?
- What did you use instead?
- How often does this occur?
- What commitment would prove it matters?
Run the smallest experiment
Deliver the outcome manually or with a narrow prototype before building a reusable feature.
A user completes the real workflow and commits time, data, distribution or budget to repeat it.Keep a human quality review and measure accepted output, revision count and cycle time.Make a build decision
- Build: repeated pain and active commitment
- Narrow: pain is real but the audience or job differs
- Stop: weak frequency or no behavioral proof
Why this brief exists
Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.