How ideas are assessed
Every idea uses a simple, transparent score so you can see the reasoning behind it, not just a number.
Where researched ideas come from
Daily Product Idea does not begin by asking AI for random startup ideas. We first look for signals of real problems: repeated questions, complaints, workarounds, requests and relevant market changes. Similar signals are grouped into a clear problem. AI can then help propose a focused product, research the opportunity and structure the assessment. Every researched idea is reviewed before publication, and evidence is kept separate from assumptions.
- 1.Find problem signals
- 2.Group repeated problems
- 3.Propose a focused product
- 4.Research the opportunity
- 5.Score the evidence
- 6.Review it
- 7.Publish one idea
Score dimensions
| Dimension | Weight |
|---|---|
| Problem evidence | 25% |
| Customer clarity | 15% |
| Market potential | 15% |
| Differentiation | 15% |
| Buildability | 15% |
| Customer access | 15% |
Score bands
- 80–100: Strong opportunity, still requires testing
- 65–79: Promising
- 50–64: Mixed
- 35–49: Needs a sharper angle
- 0–34: Not currently recommended
Scoring happens after problem discovery, clustering, candidate generation and research — not independently of it. Where evidence is weak, conflicting or absent, the score notes say so explicitly.
Evidence levels
Illustrative · Limited · Indicative · Supported · Direct
Only Direct evidence can justify the word "Validated," and the direct evidence must be described alongside the idea.