This article is part of a five-part series on product discovery best practices.
This best practices article is part two of a five-part series on product discovery. In the first article, we introduced the idea that customer understanding comes from both proactive and passive discovery. We also explored the core principles that make product discovery effective.
Customer research is the proactive side of discovery. It helps product managers go beyond the feedback customers share on their own and understand the context behind what they need. These conversations provide context that is often missing from individual requests, uncovering needs that customers may never otherwise share. This helps product managers understand customers from three important angles:
Customer context helps you understand the environment people operate in — their responsibilities, workflows, tools, and constraints.
Customer goals clarify the outcomes people are trying to achieve and how they define success.
Customer challenges reveal the friction, workarounds, and unmet needs that create demand for a solution.
Taken together, these insights help product managers understand what customers are trying to achieve, what gets in their way, and which problems deserve closer attention. Research studies provide a repeatable way to capture, compare, and organize those insights so they become shared customer knowledge.
In this article, you will learn how to plan and run effective customer research studies. You will define what you need to learn, recruit the right participants, schedule interviews, capture each conversation, and organize your findings into evidence you can use in product decisions.
The capabilities described in this article are available in Aha! Discovery. Aha! Discovery can be purchased as a standalone product or added to Aha! Roadmaps so you can connect insights to your plans. Some capabilities (such as AI-powered transcription, interview summaries, and advanced analysis with Elle, the AI assistant) require the Aha! Discovery Advanced plan.
Click any of the following links to skip ahead:
Step 1: Define what you want to learn
Start with a clear research objective. A recurring theme in customer feedback, an assumption behind a product initiative, or a question you cannot confidently answer are all strong reasons to interview customers. A clear objective helps you focus interviews, recruit the right participants, and gather evidence you can use in later decisions.
Create a research study: Start by creating a study for the customer problem, opportunity, or initiative you want to investigate. In the study overview, capture clear goals and assumptions so everyone involved understands what you want to learn, which decisions the research should inform, and why it matters.
Identify assumptions to test: Document what you believe to be true about the customer context, struggles, or goals related to the problem. Making assumptions explicit helps you probe deeper to challenge or confirm them.
Define research questions: Write down the questions you need answered before moving forward. Add them to the study script so each interview produces evidence you can compare across conversations. Keep the questions open-ended and neutral so you learn how customers think and behave instead of steering them toward a specific answer.
-
Give your research context: Link related ideas, initiatives, goals, or other roadmap records that provide context for the problem you are investigating. This makes it easier to connect what you learn back to customer needs.
If you need a starting point, use Elle to help draft research questions or a first version of your study script. You can also ask Elle to flag leading questions and suggest edits based on interview best practices. Then, refine the questions so they match the assumptions you want to test and the customers you plan to interview.
Step 2: Recruit the right participants
Identify participants who can help you better understand the problem. Start with customers who have already shown interest through idea submissions, votes, poll responses, or past interviews. And expand beyond that group to include people with different roles, experiences, and perspectives. This helps you determine whether a problem is widespread, who it affects most, and why it matters.
Create a participant database: Add customers, prospects, and other contacts who are willing to participate in research so you can recruit with more intention over time. You can add participants manually, bring them in from your ideas portal, or sync them from Salesforce. A well-maintained participant database helps you find relevant voices faster and build a broader view of the customers you serve.
Find people who care about the problem: Start with customers who have already shown interest in the topic you are researching. In the participant database, filter contacts by related ideas, poll responses, or previous studies to identify people who can speak directly about the problem. These signals can help you find participants with relevant experience and strong opinions.
Broaden your perspective: Include participants from the groups or segments you most want to understand, but avoid focusing on only one type of customer. Comparing experiences across roles, organizations, and use cases helps you recognize patterns and uncover differences that might otherwise be missed.
Add participants to the study: Select people individually or in bulk to create a participant group that matches your research objective. Build the group deliberately so the mix of participants reflects the perspectives you need to spot meaningful patterns.
Invite customers to participate: Send out an invitation that explains why you want to speak to them, how long the interview will take, and which topics you plan to cover. This helps participants understand what to expect and leads to better conversations.
Step 3: Schedule customer interviews
Make it easy for customers to find a time to talk with you. A simple scheduling process reduces coordination effort and makes customer interviews a regular part of your day-to-day work. That makes research easier to sustain — so it becomes a regular habit instead of an occasional effort.
Make booking simple: Create a scheduling page for each study that makes your availability clear so participants can choose a convenient time. This reduces manual coordination and helps you confirm interviews faster.
Connect calendars to avoid conflicts: Sync your calendar with Microsoft Outlook or Google Calendar so availability stays accurate as schedules change. This helps you avoid double-booking while fitting interviews in alongside other commitments.
Send reminders that keep participants prepared: Use reminders to confirm the session time, restate the purpose of the conversation, and share any preparation participants need before the meeting. This helps participants arrive ready to talk and reduces no-shows.
Step 4: Record customer interviews
Create a complete record of every customer conversation so you can work from what customers actually said. Recording and transcribing each interview preserves the original context, which matters when you review the conversation later, compare it with other interviews, or revisit a detail that could shape the next decision.
Store interviews in one place: Record sessions through integrated meeting services or import recordings directly to a study. If you capture customer calls in Gong, bring those conversations into the study as part of your research record. Keeping the full conversation and its supporting context together gives you a trusted source of evidence to revisit and use in later decisions.
Autogenerate transcripts: Stay present during the interview. Record it and let AI-powered transcription capture the transcript for you when you upload it to Aha! Discovery. That lets you focus on what the customer is saying in the moment while still creating a record you can return to later.
Review the interview: Set aside time right after the conversation to confirm the transcript, clarify additional notes, and clean up the record while the details are still fresh. This gives you a more accurate interview record before you start pulling out evidence.
Step 5: Capture interview highlights
Turn each interview into evidence you can quickly review and use. Soon after the conversation ends, pull out the quotes, observations, and moments that matter most. Capturing highlights while the details are still fresh helps preserve meaning and makes later analysis faster and more grounded.
Use AI for a first pass: Use Elle to summarize interviews, analyze sentiment, and highlight key learnings and quotes. This gives you a useful starting point so you can focus your review on the moments that matter most.
Capture meaningful highlights: Save important quotes and learnings from each interview. A clear set of highlights makes it easier to review what you heard and compare evidence across interviews.
Save valuable clips: When a short moment captures a customer need especially clearly, save it as a clip. A clip preserves tone and emphasis, which can add meaning that a written quote alone does not fully capture. You can share clips in insights reports or link them to related Aha! records.
Connect highlights to related records: Link highlights to related ideas, initiatives, and other related roadmap records. This keeps important customer evidence tied to the work it can inform later.
Step 6: Synthesize study findings
Step back from individual interviews and look across the study as a whole. At this stage, you are no longer focused on one conversation at a time. You are looking for patterns that hold up across multiple interviews, because those repeated signals give you a clearer view of the problem and more confidence in the decisions ahead.
Review the study as a whole: Look across highlights, notes, and clips from every interview in the study to see where customers describe similar problems, motivations, or outcomes. This shows you which themes repeat across the study and which comments are more isolated.
Use AI to speed up analysis: Use AI to review highlights across interviews, spot repeated patterns, and draft a starting summary. Then review the findings yourself to decide which patterns are real and which ones need more evidence.
Create an insights report: Use an insights report to distill the evidence into a clear point of view. Summarize the audience, the problem, the strongest signals, and the key findings so stakeholders can quickly understand what the study revealed and what it should influence next.
Share findings with stakeholders: Share the report with teammates and stakeholders so everyone can review the same evidence and understand how it should inform upcoming decisions. That gives the team a shared view of the problem before prioritization and planning begin.
In the next article, we will focus on the passive side of discovery. You will learn how to centralize customer feedback so you can capture signals at scale, compare them across customers, and connect them to your research.