We connect women's health researchers and female participants
Get fast access to quality female participants, or earn money by taking part in studies.
Here to take part rather than recruit? Join as a participant
Three simple steps.
How it works
Describe your sample
Set your criteria and add your survey link.
Add credit and launch
Pay by card. Matched women see the study at once.
Approve and pay
Approve in a click. Participants are paid instantly.
Those three steps are only worth anything if step two happens fast.
Our target: your first match within an hour
Women on FeFe are screened before your study exists, by condition, treatment and cycle stage. Matching is not a search, it is a lookup, so the first matched participant should see your study within an hour of launch.
Speed matters because the evidence base is decades behind.
Our industry needs FeFe
The women's health data gap is not our claim. It is on the record.
Most of recorded human history is one big data gap.
Women were not required to be included in US clinical trials until 1993.
84% of women have felt they were not listened to by healthcare professionals.
Closing that gap starts with access researchers can actually afford, priced in the open.
What it costs
Participants keep 100% of the reward. FeFe's fee covers verification, screening, quality checks and instant payouts.
We take a fixed share of the total study cost, so the fee is predictable before you set the reward.
- No subscription
- Unfilled places refunded
- Participants keep 100%
Corporate
40% of study cost
Pharma, brands, femtech and healthcare
Academic
30% of study cost
Universities and non-profits
Work out your cost
- Participant rewards
- £500.00
- FeFe fee
- £333.33
- Total you pay
- £833.33
- Cost per completed response
- £8.33
Unfilled places are refunded, so this is a ceiling, not a commitment.
Free to set up. You only pay when you launch a study.
Prefer to talk it through first?
Fit and cost settled, the last gate is your ethics committee.
Ethics, data and GDPR
Answers your ethics committee will ask for
FeFe is a recruitment layer. You keep your study, your instrument and your data, and we give you the paperwork trail to evidence how participants were reached and paid.
You do not need ethics approval to recruit here. Approval stays with your institution, and we hand you the consent, payment and sampling detail your committee asks for.
You own the research data
Responses are collected in your own survey tool. FeFe never takes ownership of your dataset.
Participants stay pseudonymous
Researchers see a FeFe participant ID, not names or contact details, unless you collect them yourself under your own consent.
Consent and withdrawal built in
Participants opt in per study, can stop at any point, and see your information sheet before they take part.
UK GDPR and a data processing agreement
We publish our processing terms and subprocessor list, so your DPIA and ethics application have something to cite.
Fair payment as standard
Participants earn at least £6 per hour and keep every penny, which clears most university fair-payment policies.
An auditable sampling trail
Every study keeps its criteria, invitation and quality record, so you can describe your sampling method precisely.
Ethics approval remains your responsibility. We supply the recruitment detail your committee asks for.
Everything above is for researchers. This part is for the women who take part, and none of it works without them.
Join as a participantCommon questions
How quickly can I collect data?
Once a study is live, matched participants see it immediately. Many complete the same day, depending on your criteria and reward.
How do you know participants are real women?
Everyone passes screening, an attention check, a written answer and an authenticity pledge before their first study, then reconfirms every six months.
What happens to places that do not fill?
They are refunded in full. You are only ever charged for completed responses you approve, so the number you fund is a ceiling rather than a commitment.
What stops bots and AI written answers?
We block automated study grabbing, check time on task against your estimate, and let you set an AI policy per study. Two confirmed AI written submissions and the participant is removed.