UseCaseify Glossary
UseCaseify Glossary
Official definitions of the terms UseCaseify uses. The same terms carry the same meaning across the README, product facts, methodology, FAQ, and the product itself.
Use case (GTM sense)
A concrete description of who uses a product, in what situation, to solve what problem, and what outcome makes that worthwhile. In UseCaseify this is a go-to-market concept — a candidate reason for a specific audience to buy — not a software-engineering (UML) use case diagram.
Use case discovery
The process of deriving candidate use cases from product information and public market evidence, rather than from brainstorming alone. In UseCaseify, discovery includes structural validation and red-team review before candidates reach the user.
Use case validation
Testing whether a candidate use case resonates with real prospects before committing significant budget to it. In the current product this is done through published validation pages; behavioral testing (measuring clicks and sign-ups) is planned but not currently available.
Opportunity (use case opportunity)
A use case candidate that has survived screening and is presented for human review as a card, together with its evidence, assumptions, score, and confidence. The current product presents exactly four opportunity cards per run, each of which the user approves or rejects.
Opportunity score
A deterministic weighted total over ten independently reasoned dimensions: pain frequency, pain severity, urgency, existing spend, product fit, reachability, differentiation, evidence quality, testability, and strategic fit. The score is decision support, not a probability of success. Users can override dimension scores manually.
Confidence
A separate rating (low, medium, high) expressing how much trust the available evidence supports, reported alongside — never blended into — the opportunity score. A high score with low confidence means a promising but unproven idea.
Evidence
Verbatim quotes from public web sources or user-supplied material, stored with their source and classified by direction: supporting, contradicting, neutral, or context. Contradicting evidence is collected deliberately.
Evidence level
A record of how strong the accumulated evidence for an opportunity is: insufficient, single signal, repeated signal, prospect feedback, or behavioral signal. Only input from real people can raise an opportunity to the prospect-feedback or behavioral-signal levels.
Illustrative use case
A composite, hypothetical scenario written to show how a product could be used, grounded in market evidence but not describing a real named customer. UseCaseify outputs are illustrative or hypothesis-level content until validated, and must not be presented as real customer case studies.
AI pre-check
An optional step in which five synthetic reviewer perspectives critique a selected opportunity and its assets. The output is explicitly labeled synthetic, non-customer feedback; it can surface objections and generate validation questions, but it is never counted as market validation.
Prospect validation
Publishing a page with 1–8 questions (public or password-protected) and sharing it with real prospects, who answer anonymously and without an account. This is the current product’s mechanism for obtaining real, non-AI feedback.
GTM test assets
The nine asset types UseCaseify generates per opportunity so a team can start validating immediately: value proposition, headline, supporting benefits, landing page section, cold outreach message, interview guide, survey, call to action, and objection responses. Assets are versioned and checked for claims not supported by the underlying opportunity.
Product profile
A versioned, structured description of the user’s product, drafted by the system from a URL, files, or text, then reviewed, edited, and confirmed by the user. All downstream research and generation is bound to a confirmed profile version.
Red-team review
An internal screening step in which generated candidates are deliberately challenged for credibility and fit before being shown to the user, so weak or misleading candidates are merged or removed early.
Decision report
An immutable snapshot of a completed decision — recommendation, main uncertainties, and next tests — shareable through a revocable public or password-protected link.
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