Define the question
Capture the customer segment, business problem, geography, constraints, and success criteria.
A managed AI operations platform: a subscription service combining dedicated AI agent teams and human expertise to help businesses design, run, and improve their operations.
First users: Smitty, Danny, and Chris.
Current stage: planning an internal web app.
Turn a business hypothesis into an evidence-backed market decision and a practical customer-validation plan.
Market Research MVP ↗02 / VALIDATE WITH CUSTOMERSA founding cohort of 3–5 customers supplies required business context and SMART goals before the pilot begins.
Pilot requirements ↗03 / EXPAND WITH EVIDENCELead management follows market research. Broader operations, iOS, and voice remain later development.
Release sequence ↗The wider vision combines software subscriptions with research and advisory services. This site is the planning hub; the operational application is still to be built. The domain is struo.work; the final business name is undecided.
A mobile-friendly web app for the founders, focused first on market research for non-healthcare businesses. The initial customer segment remains open.
Capture the customer segment, business problem, geography, constraints, and success criteria.
Research demand, alternatives, workflows, and adoption barriers. Link findings to sources and dates.
Use explicit criteria and weights to compare segments. Distinguish observations, assumptions, and uncertain estimates.
Present the recommendation, uncertainty, and proposed action. A founder approves it or requests revision.
Record interview findings, objections, and pilot interest. Update the hypothesis when evidence challenges it.
Produce an approved customer profile and offer hypothesis for the next workflow.
Goals, documents, constraints, and authorized tool data
Permission-aware vector search and RAG, with source references
A conversational point of contact gathers research and drafts a plan
Human approval, outcome tracking, and approved customer-specific feedback
Implement controls, operate them consistently, and verify them with recorded evidence and clear responsibilities.
Separate client data, access, and retrieval. Exact infrastructure boundaries still need a technical decision and isolation tests.
External outreach, spending, and changes to connected systems require explicit human approval. Research and drafting may be automated within approved scope.
Model a desired outcome, show assumptions, and propose a plan. Forecasts show ranges; they do not guarantee results.
Retain approved context and feedback, track results, and propose revisions. Operational changes remain subject to review.
Vector search finds material by meaning. Retrieval-augmented generation (RAG) supplies relevant source material before an AI answers. Initial learning means approved context and workflow improvements; unrestricted model retraining is outside the first release.
After the internal foundation works, test transferability with a founding cohort. A six-week pilot is proposed; dates, pricing, and success thresholds require agreement.
Collect the business need, current workflow, relevant approved information, SMART goals, baseline measures, constraints, and a named decision-maker.
Set a scoped outcome, target, deadline, data source, review cadence, and approval owner. Track quality, time, corrections, failures, and service costs.
Compare results with the baseline, document customer feedback, and assess paid continuation. Report uncertainty and other factors affecting results.
SMART goals are specific, measurable, achievable, relevant, and time-bound. Signup data enables a relevant service; it does not establish willingness to pay. Internal use tests usability and reliability. Customer outcomes and paid continuation test whether the offer transfers. A change after the pilot does not by itself prove causation, and early qualitative findings should not be described as statistically significant.
Build the mobile-friendly research workflow for the three founders, including knowledge retrieval, approvals, and outcome records.
Gate: usable workflow and verified controlsOnboard 3–5 customers into dedicated environments with required context and agreed SMART goals.
Gate: measured value and paid continuation evidenceReuse approved customer profiles and offer hypotheses. Extend the tested delivery pattern into follow-up workflows.
Gate: repeatable quality and viable costsEvaluate iOS and voice through internal testing. Expand into scheduling, business insights, and retention as evidence supports.
Gate: demand, capacity, and security readinessAt least 10 hours per founder weekly: 30 combined hours for planning, research, development, and testing. Operations are primarily in Indiana and remote; a separate legal entity has not yet been formed.
Lead market and legacy-system research. Proposed MVP focus: research briefs, customer-validation planning, and outcome measurement.
Lead technical requirements and security planning. Proposed MVP focus: retrieval, dedicated environments, access controls, and verification.
Confirm Chris’s workstream and assign accountability for onboarding, delivery, approvals, support, and acceptance testing.
Estimated monthly cash spending, including contingency, from the MVP planning summary.
Estimated monthly cash spending, including contingency, depending on cohort size and usage.
These are planning ranges, not current vendor quotes or approved spending. Founder time is separate. Confirm tools, usage assumptions, exclusions, and funding before committing.
Choose the first non-healthcare segment, scoped pilot offer, pricing, and acquisition approach.
OpenDefine dedicated-environment boundaries and select the minimum stack for retrieval, agents, security, and measurement.
OpenConfirm founder responsibilities, approval owners, pilot targets, and release acceptance thresholds.
OpenApprove a monthly ceiling, validate cost assumptions, and determine the funding route.
OpenConfirm the final business name and formation plan. struo.work is the current demonstration domain.
OpenThe vision is a managed AI operations platform.
The next deliverable is a working market research MVP.