Screenshot of the Methods transfer question generator interactive demo
Screenshot of the interactive demo, on sample data

Methods transfer question generator

Show what a paper does not specify before attempted replication.

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For
Research teams adopting published methods
Solves
Teams overlook practical details missing from a methods section.
Delivers
Researcher-reviewed methods clarification brief
Built in
about 4 weeks of creation time, MVP in 5 days
Investment
$11,500 for the MVP, $39,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For research teams adopting published methods, turn licensed papers and investigator-defined transfer goals into researcher-reviewed methods clarification brief.

  1. Extract reported parameters.
  2. Link exact passages.
  3. Flag unspecified conditions.
  4. Compare local constraints.
  5. Draft clarification questions.
  6. Export transfer briefing.

What goes in, what comes out

What the customer puts in
  • Licensed papers
  • Investigator-defined transfer goals

AI drafts, people review. Research evidence workspace with reviewed deliverables.

What the customer gets
  • Researcher-reviewed methods clarification brief
02

How it works

The workflow

  1. In
    Start with

    Licensed papers and investigator-defined transfer goals

  2. 1

    The buyer creates a project

  3. 2

    Supplies licensed papers and investigator-defined transfer goals

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Researcher-reviewed methods clarification brief

AI does the heavy lifting, people stay in charge

Identify reporting gaps without inventing experimental parameters. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

What your team sees

Key screens: Method evidence, Missing details, Author questions. Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with method evidence; move into missing details for the detailed task; finish in author questions for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Source provenance, participant consent where applicable, research questions, coding definitions, reviewer disagreements, citations and versioned conclusions. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

Authorized datasets, papers, protocols, code and research records. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of licensed papers and investigator-defined transfer goals. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    5 days

    One buyer segment, one recurring use case; first modules: extract reported parameters; link exact passages. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    6 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    2 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

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 teams adopting published methods use it to solve "teams overlook practical details missing from a methods section"?
  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 unspecified parameters and researcher-rated question usefulness. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: General evidence review; hazardous procedural optimization excluded. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract reported parameters; link exact passages. Support the third task through an assisted review queue: flag unspecified conditions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of researcher-reviewed methods clarification 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 researcher-reviewed methods clarification brief, automate compare local constraints; draft clarification questions; export transfer briefing. 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. General evidence review; hazardous procedural optimization excluded.

What the build depends on. A clear research protocol, source access, citation tracking and qualified interpretation. Interview work also needs relevant participants and consent management. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: General evidence review; hazardous procedural optimization excluded.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: extract reported parameters; link exact passages. Manual review in the loop.

    $11,500 · about 5 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $11,500 · about 6 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $16,000 · about 2 weeks of creation time

Indicative total, MVP to full product$39,000about 4 weeks of creation time · start with the MVP from $11,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$80–$160$110–$220
Full productabout 50 customers$110–$210$880–$1,750$990–$1,960
05

Run it or resell it

Internally

For your own team

Research teams adopting published methods run it inside the business: licensed papers and investigator-defined transfer goals in, researcher-reviewed methods clarification brief out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#91274c
  • accent#54c9ba
  • surface#f1e4e9
  • ink#22201e
Headings
DM Serif Display
Text
DM Sans
Voice
Rigorous, transparent, cited
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for one tightly bounded research question and evidence pack. Participant recruitment, specialist review and licensed data are separately scoped. Repeat tracking can become a retainer. Prices are hypotheses. For this buyer, package the first sale around review one non-sensitive methods paper and the defined researcher-reviewed methods clarification brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Show what a paper does not specify before attempted replication. Demonstrate the result with review one non-sensitive methods paper for research teams adopting published methods. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Research methods workshops and laboratory networks

Lead magnet

Review one non-sensitive methods paper

The first 30 days

  1. Week 1: interview five prospective buyers from research teams adopting published methods and inspect how they handle teams overlook practical details missing from a methods section.
  2. Week 2: prepare review one non-sensitive methods paper using authorized or synthetic material.
  3. Week 3: share the demonstration through research methods workshops and laboratory networks and seek one bounded paid pilot.
  4. Week 4: measure unspecified parameters and researcher-rated question usefulness, 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 review one non-sensitive methods paper and deliver researcher-reviewed methods clarification brief. Compare unspecified parameters and researcher-rated question usefulness 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

Unspecified parameters and researcher-rated question usefulness

Retention and expansion

Build repeat use around researcher-reviewed methods clarification brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unspecified parameters and researcher-rated question usefulness. 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

Niche research protocols, credible researcher relationships and a rights-cleared evidence archive with consistent interpretation methods. For this concept, accumulate permissioned examples and reviewer corrections around show what a paper does not specify before attempted replication. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Research consultants, internal analysts, literature databases and general search or summarization tools. Position this concept around show what a paper does not specify before attempted replication. 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

Researcher time, source access, participant recruitment, transcription, evidence coding, expert review and report revisions. Initial validation additionally budgets for domain researcher review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Preserve original data, methods, citations and research limitations. Use researcher review and document every substantive transformation. General evidence review; hazardous procedural optimization excluded. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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