Set the right incentive. See feasibility instantly.
Every audience on Respondent is recruitable. The incentive determines how likely your study fills - and how fast. Pick your audience, set your study length, and we'll recommend an incentive that balances cost and speed.
Define your audience
Add filters. The more specific, the higher the incentive.
United States
In-person studies recruit from a smaller geographic pool and need a higher incentive to cover travel. Expect a meaningfully higher fall-through rate too — over-recruiting by 20–30% is normal.
Multi-select. Hourly rate uses the highest cell across (function × seniority); pool widens with each addition.
Select job functions…
Optional. Search ~2,500 common B2B titles or type your own. Click multiple to add several quickly. Each title narrows the pool; executive and specialist titles (CEO, CTO, Partner, Neurosurgeon, etc.) also add a small hourly premium on top of function × seniority.
Optional. Empty = any seniority. Multi-select widens the pool.
Any seniority
Optional. Multi-select. Cost uses the highest industry mult; pool unions across selected. 146 industries available.
Any industry
Optional. Multi-select widens the addressable pool.
Any company size
Multi-select. Pool unions across selected groups.
Multi-select. Owner/self-employed adds a small premium; students discount.
Optional. Multi-select. Graduate-degree adds a small hourly premium (higher opportunity cost).
Optional. Max 2 in real product. Pool effect only - no hourly impact.
Each question narrows the audience and may bump the hourly cost. We parse for income, role, behaviour frequency, medical conditions, ownership, and demographics. Anything we don't recognise still counts as a soft filter.
Hard filters that reduce the addressable pool. Each Key Qualifier becomes a screener question. Adding more narrows your audience and can bump the tier.
All incentives paid in USD. Recommendations are heuristic — calibrate with your fill data.
How to calculate incentives for user research recruiting
Enter Research Details
Enter the details of the research study, including the research methodology, time requested and audience type.
Select Target Audience
Describe your ideal participant with filters such as location, job function, seniority, and more.
Use Recommended Incentive
Successfully recruit quality participants with an appropriate incentive that is highly reliable.
Frequently Asked Questions
Participant recruitment is a function of the right incentive, maximum reach and accurate audience targeting. The incentives recommended by this tool rely on data from thousands of projects that have been recruited for successfully on Respondent and hence these recommendations are made with a high degree of confidence. Read our blog article to learn more about how this incentive calculator works.
B2B recruiting is used to recruit business professionals on the basis of their professional attributes such as job function and seniority. B2C recruiting is used to recruit consumer audiences on the basis of demographic attributes such as location and age.
Please select the most proximate job function to the job role that you are looking for, and make reasonable assumptions to extrapolate from the recommended incentive.
Yes. The values recommended on this UX research incentive calculator are based on average project lifecycles of 1-2 weeks for completion of recruitment. If you are working on a tighter timeline, we suggest that you increase the incentive you offer.
Odds are, the answer is yes. Respondent has over 4M participants and a 3-step participant recruitment process of matching with our existing panel, offering commissions to our panel to invite relevant matches from their network and a team of recruiting experts who specialize in boosting hard-to-recruit campaigns. Publish your project on Respondent with the right incentive, and we will find your participants.
Get high-quality, great value participants on-demand
- Flat recruit fees, we don't charge a fee for incentives
- Only pay for completed sessions
- Recruit for any research methodology
