Write a falsifiable acquisition hypothesis
For agency reporting, test whether account managers combining results from client channels experience a costly enough problem when reporting time is spent reconciling exports instead of explaining what changed to consider a bounded change. The decision owner hypothesis is an agency account director responsible for client reporting, and a possible trigger is that the agency adds clients with different reporting definitions.
The current alternative, channel exports pasted into a recurring slide deck, is the comparison point. Your experiment should discover whether the proposed workflow earns adoption despite switching effort. It should not treat a compliment about the product as proof of demand.
Run a bounded experiment
An example planning window is one week, but the buyer's availability and implementation needs determine the actual timing. Agree on a manageable number of conversations with the team running the test. That number is a planning choice, not an expected conversion rate.
| Stage | Action | Record |
|---|---|---|
| Prepare | Define the scope needed to rebuild one client's agreed report using traceable source exports and explicit metric definitions. | Inputs, access, owner, time boundary, and stop conditions. |
| Research | Use "agency reporting" "manual exports" and inspect the original source. | Source, date, observed problem, and unresolved questions. |
| Discover | Which number causes the most disagreement with clients, and how is it defined? | The actual workflow and cost of the current workaround. |
| Check feasibility | Can a reviewer trace a chart back to the original source and date range? | Confirmed requirements and unsupported needs. |
| Evaluate | Check whether an account manager explains a reported change and reconciles its source totals. | A verifiable event, a blocked attempt, or an explicit refusal. |
Set decision rules before reviewing results
A refusal, failed pilot, or invalid hypothesis can be a useful result. Preserve it. Do not replace inconvenient outcomes with a different success definition after the experiment finishes.
- Continue the pilot only when its critical dependency is resolved: connector freshness, attribution windows, and client-specific definitions matter more than visual polish.
- Stop pursuing a poor-fit account when it belongs to agencies expecting unsupported channel data or guaranteed marketing performance.
- If the problem is not recognized in specific examples, revise the audience hypothesis.
- If the problem is recognized but implementation blocks the pilot, revise scope or capability assumptions.
- If the pilot runs, verify the value event: an account manager explains a reported change and reconciles its source totals.
- If value occurs but the buyer will not continue, investigate the recurring need and the proposed commercial terms.
Keep a learning record another person can review
Use the illustrative signal “Every Friday we rebuild client reports from exports, then argue about why the totals differ. How do you keep definitions consistent?” to practice the distinction between evidence and inference before reviewing real records. By contrast, A request for a prettier chart without access to the underlying data. cannot establish the same buying intent.
Record what you planned, what actually happened, the source for each observation, and the decision you made. Keep invitations separate from replies and paid outcomes separate from expressed interest. DemandBolt's project and research workflows can hold the context while you decide the next experiment; the software does not guarantee that an experiment succeeds.
About these playbooks and examples
Prepared by DemandBolt with AI assistance as practical planning resources for people building and selling software. The category scenarios and message examples are illustrative, not quotations from real prospects or claims of customer results. Adapt the hypotheses to your product, verify original sources, and review capabilities before making an offer.
The workflow follows our first-customer guide and buying-signal review method. Our PyInvesting and Rae records distinguish actual internal work from targets. Published .