Research analysis specification compiler

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 quantitative research teams use it to solve "approved analysis plans are translated inconsistently into code"?
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 quality and outcome thresholds before the pilot using this measure: Verified coding errors and implementation time avoided minus review cost.
4. Measure, then decide. Track verified coding errors and implementation time avoided minus review cost; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: No selection of favorable results; researchers approve statistics and conclusions. Implement one approved input format, a bounded representative case set and the first two task modules: generate inspectable analysis skeletons; test stated invariants. Support the third module with operator review: link outputs to plan sections. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around researcher-and-engineer-reviewed analysis implementation. Retain the explicit scope boundary: No selection of favorable results; researchers approve statistics and conclusions.

What the build depends on. Authorized technical access, suitable test environments, documented APIs or schemas, secrets management, meaningful checks and recovery procedures. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: No selection of favorable results; researchers approve statistics and conclusions.

Pricing to test

Test USD 1,000-4,000 for one bounded implementation or technical review, then USD 200-1,000 monthly for defined maintenance. Hosting, vendor fees and major feature changes are separate. Prices are hypotheses. Package the initial sale as one bounded researcher-and-engineer-reviewed analysis implementation. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce implementation drift from an approved plan. Demonstrate a concrete researcher-and-engineer-reviewed analysis implementation using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Quantitative research teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample researcher-and-engineer-reviewed analysis implementation from a small authorized input set, with a transparent calculation of verified coding errors and implementation time avoided minus review cost and no promised savings.

The first 30 days

1. Week 1: interview five quantitative research teams and inspect a recent example of approved analysis plans are translated inconsistently into code.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure verified coding errors and implementation time avoided minus review cost, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Verified coding errors and implementation time avoided minus review cost. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Verified coding errors and implementation time avoided minus review cost; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs researcher-and-engineer-reviewed analysis implementation. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

Reliable niche implementations, integration knowledge, representative tests and ongoing operational responsibility. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for quantitative research teams. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Developers, system integrators, existing automation products and internal engineering work. Compare this product with the buyer's present method on verified coding errors and implementation time avoided minus review cost. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Engineering, testing, cloud execution, third-party API fees, monitoring, incident response and vendor-change maintenance. Additional initial validation requires representative authorized sample preparation, buyer interviews, qualified domain review and bounded validation of researcher-and-engineer-reviewed analysis implementation. Track cost per accepted output, including correction work, unsuccessful cases and support.