You have designed a careful questionnaire, received ethics approval and sent out your invitations. Then you wait, and the responses trickle in slowly. A week later, only a small fraction of the people you invited have answered. This is one of the most stressful moments in survey research, and one of the most common.
A low response rate is not just a practical problem. It can reduce your statistical power, make subgroup analysis impossible, and raise concerns about non-response bias, where the people who answered differ in important ways from those who did not. The good news is that response rates are strongly influenced by decisions you control. This post explains practical, evidence-informed strategies to improve your survey response rate, from planning to follow-up.
What is a response rate?
The response rate is the proportion of eligible people in your sample who completed the survey. In its simplest form:
Response rate = completed responses ÷ eligible people invited × 100
In practice, definitions vary. Some researchers count partial completions, and some exclude people who could not be contacted. Organisations such as the American Association for Public Opinion Research (AAPOR) publish standard definitions for calculating response rates. Whatever definition you use, state it clearly in your methodology chapter so readers can interpret your figure correctly.
Also note that with open survey links shared on social media, you cannot calculate a true response rate, because you do not know how many people saw the invitation. In that case, report how the survey was distributed and describe your sample carefully instead.
What is a “good” response rate?
There is no single acceptable number. Expected response rates depend on the population, topic, mode, relationship with respondents and field norms. A survey of employees within one organisation, supported by management, may achieve a much higher rate than a cold email survey of busy professionals.
More importantly, a high response rate does not guarantee unbiased data, and a lower one does not automatically mean the data are biased. What matters is whether non-respondents differ from respondents on the variables you study. Still, higher response rates reduce the risk of bias and strengthen your sample, so they are worth working for. Look at published studies with similar populations and methods to understand what is realistic for your study.
Before you send the survey: design for response
1. Keep it as short as possible
Survey length is one of the strongest influences on completion. Every question should earn its place. Ask yourself whether each item is needed to answer your research questions. Remove “nice to know” questions. Pilot test to get an accurate completion time, and aim to keep it reasonable for your population. If your instrument must be long, tell respondents honestly how long it will take and include a progress indicator.
2. Make the topic relevant
People are more likely to respond when the topic matters to them. Explain in the invitation why their experience is important and how the results might help people like them. A study about workload sent to nurses, framed around improving working conditions, feels more relevant than a generic “research study”.
3. Write clear, easy questions
Confusing questions increase dropout. Use plain language, avoid jargon, keep response options consistent, and limit large grids, especially on mobile devices. Pre-test with people from your target population and fix anything they find difficult.
4. Start with easy, engaging questions
The first questions set the tone. Begin with simple, interesting questions related to the topic. Put sensitive questions and demographic questions later, after respondents have become engaged.
5. Optimise for mobile
Many respondents open survey links on their phones. Test the survey on different devices and browsers. Check that text is readable, buttons are easy to tap, and matrix questions display properly.
The invitation: making a strong first impression
6. Personalise the invitation
Personalised invitations that address respondents by name, where possible, tend to perform better than generic messages. Send the invitation from a recognisable, credible address such as your university email.
7. Write a clear, trustworthy message
Your invitation should explain who you are, why the study matters, why they were selected, how long it takes, how their data will be protected, and who approved the study. Keep it short and friendly. Put the survey link in an obvious place.
8. Use a good subject line
For email invitations, the subject line determines whether the message is opened. Be specific and honest, for example “Share your experience of remote teaching – 10-minute university survey”. Avoid words and formatting that look like marketing or spam.
9. Consider a pre-notification
A short message a few days before the survey, telling people that an invitation is coming and why, can increase response. It also helps your later email avoid being ignored as unexpected.
10. Use sponsorship and endorsement
Support from a trusted organisation can increase participation. For example, a professional association, a school principal or a hospital department head might send the invitation or add a short message of support. Make sure this does not create pressure to participate, and keep it consistent with your ethics approval.
Timing and follow-up
11. Choose the right time
Avoid holidays, exam periods, financial year-end or other busy times for your population. Ask gatekeepers or colleagues who know the population about the best timing. For email surveys, some researchers find that sending during working days rather than weekends works better for professional populations, but this varies, so use your own judgement and local knowledge.
12. Send reminders
Reminders are one of the most reliable ways to increase response. A common plan is to send one to three reminders spaced several days apart. Each reminder should be shorter than the original invitation, thank people who have already responded, and include the link again. If your platform allows, send reminders only to non-respondents so that you do not annoy people who have already participated.
13. Use multiple contact methods
If ethics approval allows, combine channels: email plus a notice in a staff newsletter, a message in a professional group, or an announcement at a meeting. Different people respond to different channels.
Incentives
14. Consider appropriate incentives
Survey methodology research has generally found that incentives can increase response rates. Small unconditional incentives (given to everyone at invitation) are often found to be more effective per unit cost than conditional incentives (given only after completion), though this is not always practical for online surveys. Prize draws are common in student research, but their effect tends to be smaller.
Whatever you choose, make sure it is approved by your ethics committee, is not so large that it pressures people to participate, and is described clearly in the invitation. Incentives can also attract fraudulent or careless responses in open online surveys, so combine them with data quality checks.
15. Offer non-monetary benefits
Some respondents value a summary of the findings. Offering to share results, while protecting anonymity, can show respect for their contribution and increase interest.
Building trust
16. Be clear about confidentiality
People are more willing to respond when they trust that their answers are safe. Explain how data will be stored, who will see it, and how results will be reported. Only promise anonymity if your design truly provides it.
17. Reduce pressure and respect choice
Participation must be voluntary. Paradoxically, making it clear that people are free to decline often increases trust and willingness to take part.
In-person and paper strategies
If your population can be reached face to face, such as students in a class or staff in a meeting, distributing the survey in person can produce high response rates. Explain the study briefly, give people time to complete it, and provide a confidential way to return forms. Be careful that the setting does not create pressure; for example, a teacher should not collect surveys from their own students if this could feel coercive.
Monitoring responses as you go
Track responses daily during data collection. Watch for:
- Where respondents drop out, which may reveal a confusing or sensitive question.
- Which groups are under-represented, so you can target reminders or additional channels to them.
- Unusual patterns that suggest careless or automated responding.
If a problem appears early, you may be able to fix it, but check with your ethics committee before changing approved materials.
A response rate action plan
- Shorten the questionnaire and pilot the completion time.
- Test on mobile devices.
- Obtain endorsement from a trusted organisation, if suitable.
- Send a pre-notification message.
- Send a personalised invitation from your university address.
- Send a first reminder after several days.
- Send a second (and, if approved, final) reminder.
- Use a second channel, such as a newsletter or meeting announcement.
- Monitor responses and representativeness throughout.
- Thank respondents and share a summary of results when possible.
What to do if your response rate is still low
Even with good planning, response rates may be lower than hoped. In that case:
- Compare respondent characteristics with known population data to assess representativeness.
- Compare early and late respondents as a rough check for non-response bias.
- Consider whether your planned analysis still has enough statistical power, and adjust your analysis plan if needed with your supervisor's guidance.
- Report the response rate honestly and discuss its implications in your limitations section.
Common mistakes to avoid
- Sending one invitation and no reminders.
- Underestimating completion time in the invitation.
- Launching during holidays or peak workload periods.
- Using an unprofessional email address or vague subject line.
- Designing long grids that are frustrating on mobile phones.
- Offering incentives without planning for fraudulent responses.
- Reporting a response rate without explaining how it was calculated.
Final thoughts
Improving your survey response rate is not about one clever trick. It comes from many small decisions: a short and relevant questionnaire, a trustworthy invitation, good timing, reminders, suitable incentives, and genuine respect for respondents' time. Plan these steps before you launch, monitor progress as responses arrive, and report your response rate transparently. Your data, and your examiners, will thank you.
What has worked for you in increasing survey responses? Share your tips in the comments.