Stakeholder question gap map

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 organizations preparing public announcements use it to solve "briefings answer internal priorities but miss stakeholder questions"?
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 unanswered themes and factual correction rate. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Qualitative question mapping; no sentiment manipulation. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group stated questions; match approved answers. Support the third task through an assisted review queue: flag unanswered concerns. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of stakeholder answer coverage report. 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 stakeholder answer coverage report, automate preserve minority topics; draft clarification requests; export briefing gaps. 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. Qualitative question mapping; no sentiment manipulation.

What the build depends on. Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Qualitative question mapping; no sentiment manipulation.

Pricing to test

Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges. For this buyer, package the first sale around map questions for one announcement and the defined stakeholder answer coverage report. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Build briefings around documented stakeholder questions. Demonstrate the result with map questions for one announcement for organizations preparing public announcements. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Public affairs consultancies and communications teams

Lead magnet

Map questions for one announcement

The first 30 days

1. Week 1: interview five prospective buyers from organizations preparing public announcements and inspect how they handle briefings answer internal priorities but miss stakeholder questions.
2. Week 2: prepare map questions for one announcement using authorized or synthetic material.
3. Week 3: share the demonstration through public affairs consultancies and communications teams and seek one bounded paid pilot.
4. Week 4: measure unanswered themes and factual correction rate, 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 map questions for one announcement and deliver stakeholder answer coverage report. Compare unanswered themes and factual correction rate 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

Unanswered themes and factual correction rate

Retention and expansion

Build repeat use around stakeholder answer coverage report. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unanswered themes and factual correction rate. 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

Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. For this concept, accumulate permissioned examples and reviewer corrections around build briefings around documented stakeholder questions. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Position this concept around build briefings around documented stakeholder questions. 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

Data preparation, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support. Initial validation additionally budgets for stakeholder facilitation. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.