Construction drawing question index

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 trade subcontractor coordinators use it to solve "questions about drawings are scattered across email and site notes"?
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 duplicate questions and wrong-version references. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Indexing only; no design interpretation or automatic instructions. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: link questions to sheet numbers; group duplicates. Support the third task through an assisted review queue: track drawing versions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of version-linked drawing question 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 version-linked drawing question register, automate flag unanswered dependencies; record approved responses; export question 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. Indexing only; no design interpretation or automatic instructions.

What the build depends on. Stable identifiers, an agreed data schema, reversible imports, mapping review and source ownership. Data quality work can exceed model development effort. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Indexing only; no design interpretation or automatic instructions.

Pricing to test

Test USD 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses. For this buyer, package the first sale around index one trade's drawing questions and the defined version-linked drawing question register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Keep each unresolved question tied to the correct drawing version. Demonstrate the result with index one trade's drawing questions for trade subcontractor coordinators. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Trade contractor groups and project coordinators

Lead magnet

Index one trade's drawing questions

The first 30 days

1. Week 1: interview five prospective buyers from trade subcontractor coordinators and inspect how they handle questions about drawings are scattered across email and site notes.
2. Week 2: prepare index one trade's drawing questions using authorized or synthetic material.
3. Week 3: share the demonstration through trade contractor groups and project coordinators and seek one bounded paid pilot.
4. Week 4: measure duplicate questions and wrong-version references, 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 index one trade's drawing questions and deliver version-linked drawing question register. Compare duplicate questions and wrong-version references 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

Duplicate questions and wrong-version references

Retention and expansion

Build repeat use around version-linked drawing question register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on duplicate questions and wrong-version references. 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 useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this concept, accumulate permissioned examples and reviewer corrections around keep each unresolved question tied to the correct drawing version. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around keep each unresolved question tied to the correct drawing version. 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

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for trade professional review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.