Emergency exercise after-action desk

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 local emergency planning teams use it to solve "exercise observations become long reports with weak action ownership"?
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 evidence-linked findings and action closure. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Post-exercise analysis; no live emergency command. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group exercise observations; link supporting records. Support the third task through an assisted review queue: distinguish simulation from reality. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed exercise improvement 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 reviewed exercise improvement report, automate draft improvement actions; assign reviewed owners; export after-action report. 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. Post-exercise analysis; no live emergency command.

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: Post-exercise analysis; no live emergency command.

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 analyze one tabletop exercise and the defined reviewed exercise improvement report. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Turn exercise evidence into accountable improvement work. Demonstrate the result with analyze one tabletop exercise for local emergency planning teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Emergency planning associations and training providers

Lead magnet

Analyze one tabletop exercise

The first 30 days

1. Week 1: interview five prospective buyers from local emergency planning teams and inspect how they handle exercise observations become long reports with weak action ownership.
2. Week 2: prepare analyze one tabletop exercise using authorized or synthetic material.
3. Week 3: share the demonstration through emergency planning associations and training providers and seek one bounded paid pilot.
4. Week 4: measure evidence-linked findings and action closure, 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 analyze one tabletop exercise and deliver reviewed exercise improvement report. Compare evidence-linked findings and action closure 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

Evidence-linked findings and action closure

Retention and expansion

Build repeat use around reviewed exercise improvement report. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on evidence-linked findings and action closure. 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 turn exercise evidence into accountable improvement work. 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 turn exercise evidence into accountable improvement work. 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 emergency planner review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.