Scientific terminology change tracker

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will research consortia maintaining shared vocabularies use it to solve "terminology changes break comparability across studies"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
4. Measure, then decide. Track unmapped retired terms and review time. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Approved source releases; no automatic historical data rewriting. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: compare vocabulary versions; flag retired terms. Support the third task through an assisted review queue: link affected variables. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of research terminology migration brief. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept research terminology migration brief, automate draft mapping questions; record researcher decisions; export change notes. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Approved source releases; no automatic historical data rewriting.

What the build depends on. Reliable permitted source access, change history, publication dates, deduplication and editorial QA. Coverage limits and inaccessible sources must be visible. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Approved source releases; no automatic historical data rewriting.

Pricing to test

Test USD 100-500 monthly for a narrow shared briefing, or USD 750-2,500 monthly for bespoke analyst coverage. Licensed source access and unusual collection requirements are extra. Prices require validation. For this buyer, package the first sale around map one vocabulary version update and the defined research terminology migration brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Trace vocabulary changes to project-specific data definitions. Demonstrate the result with map one vocabulary version update for research consortia maintaining shared vocabularies. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Research data groups and standards communities

Lead magnet

Map one vocabulary version update

The first 30 days

1. Week 1: interview five prospective buyers from research consortia maintaining shared vocabularies and inspect how they handle terminology changes break comparability across studies.
2. Week 2: prepare map one vocabulary version update using authorized or synthetic material.
3. Week 3: share the demonstration through research data groups and standards communities and seek one bounded paid pilot.
4. Week 4: measure unmapped retired terms and review time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run map one vocabulary version update and deliver research terminology migration brief. Compare unmapped retired terms and review time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Unmapped retired terms and review time

Retention and expansion

Build repeat use around research terminology migration brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unmapped retired terms and review time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

A curated source network, historical change archive and buyer-specific relevance judgments within a narrow topic. For this concept, accumulate permissioned examples and reviewer corrections around trace vocabulary changes to project-specific data definitions. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Newsletters, search alerts, analysts and general media or website monitoring tools. Position this concept around trace vocabulary changes to project-specific data definitions. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Source licensing, collection reliability, change processing, analyst verification, missed-signal review and digest production. Initial validation additionally budgets for domain terminology review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.