Reproducibility review service

Buyer

Research teams preparing computational publications

Problem

Results cannot always be regenerated from supplied materials.

Format

Evidence review and quality assurance workspace

Also fits

Education; Executives and Strategy; Operations

USP

Independent execution evidence with exact discrepancies and environment context.

The product

Key screens: Execution checklist, output comparison, issue evidence. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. In this product, the first view is execution checklist, followed by output comparison and issue evidence.

Core functionality

1. Inspect instructions.
2. Recreate approved environments.
3. Run supplied analyses.
4. Compare outputs.
5. Document deviations.
6. Suggest reproducibility fixes.

Customer workflow

Agree review criteria, ingest a sample, generate candidate findings, inspect supporting evidence, let reviewers confirm or dismiss each item, assign corrections, and recheck the affected material. Start with authorized code, data, environment definitions and expected outputs and finish with reproducibility review report.

AI and human review

Propose possible inconsistencies, omissions and rubric matches. Combine extraction with deterministic checks where rules are explicit. Reviewers make the final judgment. Keep false positives and missed cases visible during evaluation.

What the customer puts in

Authorized code, data, environment definitions and expected outputs

What the customer gets

Reproducibility review report

Accounts and administration

Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history.

MVP scope

Begin with research teams preparing computational publications and one recurring use case. Build the first two modules: inspect instructions; recreate approved environments. Provide operator assistance for the third module: run supplied analyses. Deliver reproducibility review report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

After the MVP is validated

After paid pilots establish value, automate the remaining modules: compare outputs; document deviations; suggest reproducibility fixes. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

Build dependencies

Evidence coordinates, versioned rules, reviewer decisions and a representative reference set. Measure misses as well as confirmed findings before scaling.

Integrations and data access

Authorized datasets, papers, protocols, code and research records. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. These are candidate integration categories, not verified supported connectors.

Defensibility

A domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this idea, build around independent execution evidence with exact discrepancies and environment context. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

Alternatives and positioning

Manual reviewers, checklists, generic scanning tools and specialist audit services. Differentiate on this specific proposed advantage: independent execution evidence with exact discrepancies and environment context. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Revenue model and test pricing

Test USD 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation.

Main delivery costs

Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration.

Marketing message to test

Reproducibility review service for research teams preparing computational publications. Independent execution evidence with exact discrepancies and environment context. Demonstrate the claim through a reproduction audit of one reported figure.

Acquisition channels

Research software communities

Lead magnet

A reproduction audit of one reported figure

The first 30 days of marketing

1. Week 1: interview five prospective buyers in this segment: research teams preparing computational publications. Ask to see a recent example of the problem and their current process.
2. Week 2: prepare this demonstration using authorized or synthetic material: a reproduction audit of one reported figure.
3. Week 3: present it through research software communities and seek one narrowly scoped paid pilot.
4. Week 4: review reproduced outputs, actionable issues, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot and validation

Have a qualified reviewer independently assess the same sample. Compare confirmed findings, false alarms and omissions. Repeat on unseen material before agreeing recurring volume. For this idea, use authorized code, data, environment definitions and expected outputs and evaluate reproducibility review report. Agree success thresholds with the buyer before starting; collect a baseline for reproduced outputs, actionable issues. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

Success metrics

Reproduced outputs, actionable issues

Retention and expansion

Offer recurring reviews and rechecks of previously confirmed issues. Expand document or case types after validating the new rubric with qualified reviewers.

Operating controls and limitations

Preserve original data, methods, citations and research limitations. Use researcher review and document every substantive transformation. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Investment indication

What it would take to build, from a first MVP to the full product. A planning range to start the conversation, not a quote. Running costs (model usage, hosting, reviewer hours) come on top.

Brand style (concept)