Define the question before collecting names
For event management software, investigate whether registration changes do not reach the check-in and session lists. Research is useful when it explains a workflow, its owner, and an unresolved constraint. A list of companies in a sector cannot establish that those companies have this problem.
Begin with registration staff and session coordinators and check how their work relates to an event organizer accountable for attendee operations. Map the current process around a registration form exported into several spreadsheets. You are looking for the step where the workaround stops being adequate, rather than asking people to validate an abstract product idea.
Search for the language of the problem
Try the queries below in a search engine or the search feature of a relevant professional community. Read the original discussion and its date. Results are starting points for research; these query examples do not claim any particular search volume or the existence of a matching prospect.
| Query to adapt | What to extract |
|---|---|
| "event registration" "session changes" | The failed task, current workaround, author role, and unresolved question. |
| "conference check in" "spreadsheet" "software" | An evaluation request, required capability, and reason to change. |
| "event management software" "recommend" "alternative" | Specific constraints in recommendation requests; separate vendor promotions from user experience. |
Write an evidence note you can revisit
Illustrative source text: “People change workshops after registering, but the door volunteers still have the original lists. How can we keep them aligned?” Save the actual source URL and date when researching a real example. Keep a short relevant excerpt and your interpretation in separate fields. Do not rewrite your interpretation as something the author said.
The working hypothesis is that an event adds multiple ticket types or concurrent sessions. The missing information includes whether the author is an event organizer accountable for attendee operations, whether the need is still open, and which implementation requirements remain unverified. Keep this constraint visible: ticketing, payment, and offline check-in support must match the actual event.
- Observed: the original words, the visible date, the task described, and any explicit requirements.
- To verify: whether the current process is a registration form exported into several spreadsheets.
- Disqualify when the need belongs to organizers seeking an audience marketplace when the product only manages known registrants.
- Next step: one context-appropriate question, or no contact when there is no suitable route.
Use a short discovery interview
Ask about a recent event before showing your product. Let the person explain the sequence in their own words; do not treat agreement with a leading question as validation.
- Which attendee changes must appear at the door immediately?
- How will check-in work if the venue connection fails?
- What would need to be true for you to rehearse one session with test registrations, a transfer, and a walk-in?
- How would you verify that a changed registration appears correctly in the session's check-in view?
Turn notes into a research decision
Compare independently sourced accounts of the same task. Keep an example that contradicts your hypothesis, such as this ambiguous scenario: An attendee asks what time a conference begins. It may justify more reading, but it is insufficient to label someone a buyer.
At the end of a bounded research session, decide whether to narrow the audience, ask a specific follow-up, change the pilot, or stop. Keep unknowns visible and store only the information needed for that decision. Research quality is measured by a better decision, not by how many names are collected.
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 .