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Customer research for CRM software

Use specific search queries, discovery questions, and an evidence worksheet. A practical crm software playbook with buyer-specific examples and next steps.

An acquisition guide for founders selling crm software. All worked scenarios are illustrative.

Define the question before collecting names

For crm software, investigate whether promised follow-ups disappear when leads move between teammates. 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 a small sales team sharing account relationships and check how their work relates to a founder or sales manager responsible for pipeline follow-through. Map the current process around a pipeline spreadsheet with reminders in personal calendars. 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 adaptWhat to extract
"first sales hire" "CRM"The failed task, current workaround, author role, and unresolved question.
"follow ups" "spreadsheet" "sales"An evaluation request, required capability, and reason to change.
"crm software" "recommend" "alternative"Specific constraints in recommendation requests; separate vendor promotions from user experience.

Write an evidence note you can revisit

Illustrative source text: “I am hiring our first sales rep and need to stop keeping every customer follow-up in my head. What is simple enough for two people?” 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 the founder is handing selling work to the first salesperson. The missing information includes whether the author is a founder or sales manager responsible for pipeline follow-through, whether the need is still open, and which implementation requirements remain unverified. Keep this constraint visible: contact import and everyday update effort may outweigh additional reporting features.

  • Observed: the original words, the visible date, the task described, and any explicit requirements.
  • To verify: whether the current process is a pipeline spreadsheet with reminders in personal calendars.
  • Disqualify when the need belongs to buyers requiring a full enterprise revenue stack from an early-stage contact and pipeline tool.
  • 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.

  • Show the last opportunity that stalled because no next action had an owner.
  • Which customer information must survive the handoff from founder to salesperson?
  • What would need to be true for you to move ten active opportunities into a pipeline with one owner and dated next action each?
  • How would you verify that the new salesperson completes and records a follow-up without asking the founder for context?

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: A company announces funding without describing its sales process. 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 .

Turn a hypothesis into a reviewed next step

Keep your research, prospects, and outcomes in one project.

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