Research data withdrawal workflow

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 data stewards use it to solve "approved withdrawals are not traced through known datasets"?
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 unconfirmed withdrawal tasks; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using authorized withdrawal instructions and lineage metadata. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: map affected records; assign steward tasks. Support the third task through an assisted review queue: track approved completion. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of steward-reviewed withdrawal register. 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 steward-reviewed withdrawal register, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned steward-reviewed withdrawal register. 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. One organization, one defined input format and one representative pilot batch using authorized withdrawal instructions and lineage metadata. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Explicit state definitions, owner mapping, approval rules, idempotent actions, notifications and recovery procedures. Workflow reliability matters more than fluent text. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using authorized withdrawal instructions and lineage metadata. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

Pricing to test

Test USD 750-2,500 setup plus USD 200-800 monthly for one bounded workflow and team. Cap case volume and implementation scope. Larger operational integrations need separate quotes. Prices are hypotheses. For this buyer, package the first sale around prepare a sample steward-reviewed withdrawal register from a small authorized set of authorized withdrawal instructions and lineage metadata and the defined steward-reviewed withdrawal register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Documented execution of authorized withdrawal decisions. Demonstrate the result with prepare a sample steward-reviewed withdrawal register from a small authorized set of authorized withdrawal instructions and lineage metadata for research data stewards. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

University research offices and scientific data communities

Lead magnet

Prepare a sample steward-reviewed withdrawal register from a small authorized set of authorized withdrawal instructions and lineage metadata

The first 30 days

1. Week 1: interview five prospective buyers from research data stewards and inspect how they handle approved withdrawals are not traced through known datasets.
2. Week 2: prepare prepare a sample steward-reviewed withdrawal register from a small authorized set of authorized withdrawal instructions and lineage metadata using authorized or synthetic material.
3. Week 3: share the demonstration through university research offices and scientific data communities and seek one bounded paid pilot.
4. Week 4: measure unconfirmed withdrawal tasks; reviewer correction minutes; buyer acceptance and repeat purchase, 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 prepare a sample steward-reviewed withdrawal register from a small authorized set of authorized withdrawal instructions and lineage metadata and deliver steward-reviewed withdrawal register. Compare unconfirmed withdrawal tasks; reviewer correction minutes; buyer acceptance and repeat purchase 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

Unconfirmed withdrawal tasks; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around steward-reviewed withdrawal register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unconfirmed withdrawal tasks; reviewer correction minutes; buyer acceptance and repeat purchase. 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

Customer-specific workflow rules, reliable handoffs, operational history and integrations that make the service part of daily work. For this concept, accumulate permissioned examples and reviewer corrections around documented execution of authorized withdrawal decisions. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Shared inboxes, spreadsheets, task boards and existing workflow automation products. Position this concept around documented execution of authorized withdrawal decisions. 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

Workflow configuration, integration maintenance, model calls, notification delivery, exception support and monitoring. Initial validation additionally budgets for representative sample preparation, interviews with research data stewards, and qualified domain review of steward-reviewed withdrawal register. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.