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The key to recruiting participants is finding people by what they actually do, not by who volunteers: first use behavior data or screener questions to select users who fit, then invite them through the right channels, and make an extra effort to reach those who tend not to respond. If you get the wrong participants, even a great guide and great follow-up questions will only produce skewed findings. After reading this, you'll be able to write a screener and invitation message, choose channels and incentives, and control sample bias during recruiting.
Your own users or external recruiting
Most product research should start with your own users. They've actually used the product, can describe specific experiences, and are cheap to reach. But there are questions your own users can't answer, and for those you'll need to recruit externally.
| Source | Good for | Watch out for |
|---|---|---|
| Your own users | Product experience, churn reasons, feature needs, purchase motivation | Tends to skew toward active users; invite by behavior segment |
| External recruiting | Why competitors' users don't choose you, needs in new markets, new categories not yet launched | Screen strictly to keep out people who misrepresent themselves for the incentive |
| Mix of both | Studies that need to hear from both current and potential users | Record the two groups separately, and don't combine their counts in findings |
You can recruit externally through professional recruiting agencies, research panels, industry communities, or personal referrals. Whatever the source, run everyone through the same screener and keep the screening records, so you can say afterward who your participants were.
Screen by behavior, not self-description
Questions like "Are you one of our heavy users?" yield answers of little value. People often describe themselves inaccurately; behavior records are far more reliable. If you have behavior data, select people by behavior directly, for example paying users who logged in fewer than 2 times in the past 30 days, users who canceled their subscription in the past week, or users who have used a feature 3 or more times.
When you can't get behavior data, such as when recruiting externally, replace self-assessment with concrete behavior questions: ask "When was the last time, and what did you do?" rather than "Do you do this often?" The more recent and specific, the more reliable the answer.
How to write a screener
- Start by writing down exactly who you want and who you don't, with every criterion tied to a research question.
- Put exclusion criteria first, such as working in the industry or having recently taken part in research, so unqualified respondents are screened out early.
- Ask about behavior and facts, not attitudes; ask about the last time, not what usually happens.
- Don't let the options hint at the right answer. Mix a few distractors in with the real options to catch people choosing at random for the incentive.
- Add one open-ended question asking them to describe their most recent relevant experience in a few sentences, so you can gauge how well they express themselves and whether they're genuine.
- Keep it to 5 to 8 questions that take no more than 3 minutes to complete.
- Do you currently work in market research, user research, advertising, or a company in this industry? (If yes, end the screener)
- Have you taken part in a paid interview or survey in the past 3 months? (If yes, decide based on quotas)
- When did you last use this product? Today / In the past 7 days / In the past 30 days / More than 30 days ago / Never
- Roughly how many times did you use it in the past 30 days? Less than once / 1 to 3 times / 4 to 10 times / More than 10 times
- What do you mainly use it for? (Multiple choice; include one or two distractor options unrelated to this product)
- Besides this product, what other similar products have you used? Please list them.
- In two or three sentences, describe the last time you used it: what were you trying to do, and how did it go?
- The interview takes about 30 minutes. Which of these times work for you? (List specific time slots to choose from)
Invitation channels: five common options
- In-app pop-ups or messages: reach people who are currently using the product and get quick responses, but only reach people still using it; churned users won't see them.
- SMS: broad reach, including churned and low-activity users. Keep it short, say who you are and why you're reaching out, and include a way to unsubscribe.
- Email: suits B2B and invitations that need more explanation. You can spell out the interview topic, length, and incentive. Open rates are usually lower than for SMS.
- Communities: user groups and fan groups respond eagerly, but they're mostly enthusiastic users, so use them only as a supplementary source.
- List import: import your behavior-based list of users into an invitation tool, send invitations by group, and track replies, so you can control how many people are in each group.
Churned users are the hardest to schedule and the most valuable. Write a separate invitation and use a separate channel for them; don't send them the same message as active users.
- Hi, I'm [name], research lead for [product name].
- We're learning about people's real experiences with [product or feature], and we'd like to invite you to an online interview of about 30 minutes.
- There are no right answers in this interview. We want to hear about both good and bad experiences, and your feedback will directly shape what we improve next.
- After the interview, we'll send you [incentive] as a thank-you within [timeframe].
- Your answers will be used only for this study. We won't share your personal information, and you can withdraw at any time.
- If you'd like to take part, please fill out this short questionnaire by [deadline]: [link].
- If you'd rather not receive invitations like this, reply [unsubscribe instructions].
How to set incentives
An incentive is fair compensation for the participant's time, not a way to buy positive feedback. Consider three things when setting it: interview length, the participant's time cost, and how hard the group is to reach. For hard-to-reach groups such as business decision-makers or doctors, the incentive should be noticeably higher than for typical consumers.
- As for the form, cash or general-purpose gift cards are least likely to introduce bias. In-product perks only attract people who want to keep using the product, so be careful with them when studying churn.
- The amount should be enough to bring in less enthusiastic people, but not so high that it attracts people who are only in it for the incentive.
- State how and when the incentive will be paid, and pay on time. This directly affects response rates the next time you recruit.
- The incentive is the same no matter what the participant says in the interview. Don't treat people differently based on how good their answers are.
Reduce the bias toward enthusiastic users
People who respond to invitations on their own tend to be those who like the product most and are most willing to speak up. Listen only to them and your findings will be rosier than reality. A few ways to correct for this: set quotas by behavior segment, for example a set number of active, low-activity, and churned users; send extra rounds of invitations to low-response groups, or switch to a more direct channel such as SMS; offer a higher incentive to churned users where appropriate; and record each participant's source channel during screening, then check whether participants from different sources say the same things when you synthesize findings.
Compliance and informed consent
Interviews involve personal information, so both invitations and sessions need to be compliant. In mainland China, follow the Personal Information Protection Law (PIPL); for users in the EU, follow GDPR. In practice, at minimum do the following.
- Only send invitations through channels users have agreed to be contacted on, and provide a way to unsubscribe.
- Before the interview starts, explain the purpose of the study, how long it will take, whether it will be audio or video recorded, and how the data will be stored and used, and get explicit consent.
- Participants can decline to answer any question and withdraw at any time. Withdrawing doesn't affect the promised incentive.
- Remove names, phone numbers, and other identifying information when synthesizing and sharing materials. Limit access to raw recordings to a few people and set a retention period.
- If minors or sensitive information such as health data is involved, consult legal counsel first.
Common mistakes
- Posting recruitment messages only in user communities: these are mostly enthusiastic users. Segment by behavior and use SMS and email to reach quiet and churned users.
- Screening by self-assessment: asking "Are you a heavy user?" is unreliable. Ask when they last used the product and what they did.
- A screener that gives away the answers you want: respondents will pick accordingly. Mix in distractor options and don't reveal your target participants upfront.
- Using in-product perks as incentives when studying churn: they only attract people who still want to use the product. Use cash or general-purpose gift cards instead.
- Not recording where participants came from: when findings conflict, you have no way to trace why. Record channel and group in the screener sheet.
How to do it in heari
How to do it in heari: once connected to Agentic Engine behavior data, you can select participants by actual behavior, such as users who recently canceled a subscription or whose usage has dropped, and set the number of participants per group. The AI generates the research plan and interview guide from your business question, and the research lead reviews them before they go out. After the interviews, you can exclude invalid responses, and findings show counts by group.
FAQ
Where do you find participants for user interviews?
Start by selecting from your own users based on behavior data: they have real experience with the product, and they're cheap to reach. When studying competitors' users, new markets, or a new category that hasn't launched yet, recruit externally through recruiting agencies, research panels, industry communities, or referrals, and filter everyone with the same screener questions.
What questions should a screener include?
Usually exclusion criteria, such as whether they work in a related industry or have recently taken part in research; behavioral facts, such as when they last used the product and how often; and one open-ended question asking them to describe their most recent relevant experience. 5 to 8 questions in total, taking no more than 3 minutes.
How much should you pay user interview participants?
Base it on interview length, the participant's time cost, and how hard the group is to reach, so that less enthusiastic people are willing to join without attracting people who are only in it for the incentive. Cash or general-purpose gift cards introduce the least bias; avoid in-product perks when studying churned users.
How do you avoid recruiting only enthusiastic users?
Set quotas by behavior segment, such as active, low-activity, and churned; send extra rounds of invitations to low-response groups or switch to more direct channels like SMS; raise the incentive if needed; and record each participant's source so you can compare what people from different sources say when synthesizing.
What consent do you need before an interview?
You need to explain the purpose of the study, how long it will take, whether it will be audio or video recorded, and how the data will be stored and used, and get the participant's explicit consent. Also tell them they can decline to answer or withdraw at any time, and remove identifying information when synthesizing materials.
