
A new way to help associations find volunteers




JeVeuxAider.gouv.fr is the French public volunteering platform. It enables anyone to find a volunteer opportunity that suits them, and helps organizations find motivated volunteers.
Product Design
UX
UI
User Research
Designing for public impact: increasing a feature’s performance by x8.8
On JeVeuxAider.gouv.fr's platform, success is measured by one key metric: the number of volunteer applications — while ensuring the application validation rate remains stable.
This case study shows how we took a low-usage feature, redesigned it end-to-end, and increased its impact by x8.8.
I worked as the solo Product Designer within a talented product squad (1 Product Manager, 2 Developers).
Designing for public impact: increasing a feature’s performance by x8.8
On JeVeuxAider.gouv.fr's platform, success is measured by one key metric: the number of volunteer applications — while ensuring the application validation rate remains stable.
This case study shows how we took a low-usage feature, redesigned it end-to-end, and increased its impact by x8.8.
I worked as the solo Product Designer within a talented product squad (1 Product Manager, 2 Developers).
Designing for public impact: increasing a feature’s performance by x8.8
On JeVeuxAider.gouv.fr's platform, success is measured by one key metric: the number of volunteer applications — while ensuring the application validation rate remains stable.
This case study shows how we took a low-usage feature, redesigned it end-to-end, and increased its impact by x8.8.
I worked as the solo Product Designer within a talented product squad (1 Product Manager, 2 Developers).
A high-potential yet underused feature
When exploring how to increase applications on the platform, the PM and I identified a promising but underused feature: the reversed search, which allows associations to proactively reach out to relevant volunteers.
We chose to focus on it because:
adoption was very low
the experience was incomplete
we had several signals from support tickets and qualitative interviews: the need was there, the UX wasn't.
A high-potential yet underused feature
When exploring how to increase applications on the platform, the PM and I identified a promising but underused feature: the reversed search, which allows associations to proactively reach out to relevant volunteers.
We chose to focus on it because:
adoption was very low
the experience was incomplete
we had several signals from support tickets and qualitative interviews: the need was there, the UX wasn't.
A high-potential yet underused feature
When exploring how to increase applications on the platform, the PM and I identified a promising but underused feature: the reversed search, which allows associations to proactively reach out to relevant volunteers.
We chose to focus on it because:
adoption was very low
the experience was incomplete
we had several signals from support tickets and qualitative interviews: the need was there, the UX wasn't.
3 strategic sub-objectives to stay on track
As in any marketplace, improving the feature required acting on three complementary levers:
Increase supply: more volunteers with complete & visible profiles (only 13% of new volunteers at the time)
Increase demand: more associations using the feature and sending outreach
Improve matching efficiency: higher outreach → application conversion
This framework guided every design decision.
3 strategic sub-objectives to stay on track
As in any marketplace, improving the feature required acting on three complementary levers:
Increase supply: more volunteers with complete & visible profiles (only 13% of new volunteers at the time)
Increase demand: more associations using the feature and sending outreach
Improve matching efficiency: higher outreach → application conversion
This framework guided every design decision.
3 strategic sub-objectives to stay on track
As in any marketplace, improving the feature required acting on three complementary levers:
Increase supply: more volunteers with complete & visible profiles (only 13% of new volunteers at the time)
Increase demand: more associations using the feature and sending outreach
Improve matching efficiency: higher outreach → application conversion
This framework guided every design decision.
Increase the number of volunteers visible, with a complete profile
To make the feature valuable, we first needed more volunteers with complete and visible profiles.
I redesigned the volunteer dashboard to encourage completion, with mainly:
clearer nudges (completion gauge + todo list)
a dedicated, streamlined completion flow
Results: 13% → 55% of new volunteers with complete & visible profiles.
We doubled the total number of visible volunteers in 6 months.

The todo list and gauge completion to encourage volunteers to complete their profile
Increase the number of volunteers visible, with a complete profile
To make the feature valuable, we first needed more volunteers with complete and visible profiles.
I redesigned the volunteer dashboard to encourage completion, with mainly:
clearer nudges (completion gauge + todo list)
a dedicated, streamlined completion flow
Results: 13% → 55% of new volunteers with complete & visible profiles.
We doubled the total number of visible volunteers in 6 months.

The todo list and gauge completion to encourage volunteers to complete their profile
Increase the number of volunteers visible, with a complete profile
To make the feature valuable, we first needed more volunteers with complete and visible profiles.
I redesigned the volunteer dashboard to encourage completion, with mainly:
clearer nudges (completion gauge + todo list)
a dedicated, streamlined completion flow
Results: 13% → 55% of new volunteers with complete & visible profiles.
We doubled the total number of visible volunteers in 6 months.

The todo list and gauge completion to encourage volunteers to complete their profile
Increase the number of volunteers visible, with a complete profile
To make the feature valuable, we first needed more volunteers with complete and visible profiles.
I redesigned the volunteer dashboard to encourage completion, with mainly:
clearer nudges (completion gauge + todo list)
a dedicated, streamlined completion flow
Results: 13% → 55% of new volunteers with complete & visible profiles.
We doubled the total number of visible volunteers in 6 months.

The todo list and gauge completion to encourage volunteers to complete their profile




From the dashboard to the dedicated flow to complete our profile
Increase the number of associations using the feature
To scale usage, we improved the reversed search experience itself.
Through interviews, observations and Hotjar, we identified two core use cases:
Targeted searches: associations needed more precise info & filters
High-volume missions: they needed quick bulk outreach
I redesigned the experience to include:
new relevance & sorting rules (availability + preferences + proximity)
clearer lists with key info surfaced up front
filters for specific needs (skills, certifications…)
qualitative signals (experience, motivations, past missions)
bulk selection & outreach
Increase the number of associations using the feature
To scale usage, we improved the reversed search experience itself.
Through interviews, observations and Hotjar, we identified two core use cases:
Targeted searches: associations needed more precise info & filters
High-volume missions: they needed quick bulk outreach
I redesigned the experience to include:
new relevance & sorting rules (availability + preferences + proximity)
clearer lists with key info surfaced up front
filters for specific needs (skills, certifications…)
qualitative signals (experience, motivations, past missions)
bulk selection & outreach
Increase the number of associations using the feature
To scale usage, we improved the reversed search experience itself.
Through interviews, observations and Hotjar, we identified two core use cases:
Targeted searches: associations needed more precise info & filters
High-volume missions: they needed quick bulk outreach
I redesigned the experience to include:
new relevance & sorting rules (availability + preferences + proximity)
clearer lists with key info surfaced up front
filters for specific needs (skills, certifications…)
qualitative signals (experience, motivations, past missions)
bulk selection & outreach


The volunteers search before (left) and after (right) the revamp


The volunteers search before (left) and after (right) the revamp


The volunteers search before (left) and after (right) the revamp


The volunteers search before (left) and after (right) the revamp




When an association wants to look for volunteers for their mission




Volunteers list with filters




Volunteer detailed information
Then I made the feature more visible and accessible.
Within the mission page, through a product tour and our monthly newsletter.
Results:
the share of active associations using the feature increased by 51%
+32% outreach emails sent
Note: outreach volume is capped for fairness: volunteers can receive only 2 emails/month, and associations are limited to 300 sends.
Then I made the feature more visible and accessible.
Within the mission page, through a product tour and our monthly newsletter.
Results:
the share of active associations using the feature increased by 51%
+32% outreach emails sent
Note: outreach volume is capped for fairness: volunteers can receive only 2 emails/month, and associations are limited to 300 sends.
Then I made the feature more visible and accessible.
Within the mission page, through a product tour and our monthly newsletter.
Results:
the share of active associations using the feature increased by 51%
+32% outreach emails sent
Note: outreach volume is capped for fairness: volunteers can receive only 2 emails/month, and associations are limited to 300 sends.




Mission view for an association - feature highlight when they are still looking for volunteers
Improve the conversion rate
The second conversion driver was the email itself. The previous message felt automated, not personal.
We considered:
letting associations write their own message
sending a generic message framed as if it came from the association
We chose the second option, since associations didn't express the need for customization and often send in bulk.
Result: conversion rate increased from 3.1% to 5.3% (+74%).
Improve the conversion rate
The second conversion driver was the email itself. The previous message felt automated, not personal.
We considered:
letting associations write their own message
sending a generic message framed as if it came from the association
We chose the second option, since associations didn't express the need for customization and often send in bulk.
Result: conversion rate increased from 3.1% to 5.3% (+74%).
Improve the conversion rate
The second conversion driver was the email itself. The previous message felt automated, not personal.
We considered:
letting associations write their own message
sending a generic message framed as if it came from the association
We chose the second option, since associations didn't express the need for customization and often send in bulk.
Result: conversion rate increased from 3.1% to 5.3% (+74%).




The email sent to a volunteer - faking a direct message from the association
Final impact — a step-change in performance
After improving each sub-goal, the feature’s impact increased dramatically — 8.8× more applications when comparing the first six months of 2024 and 2025. Another satisfying result: the application validation rate is +11 pts higher than the platform average.
What's next? I think the two best options for us is to continue improve the feature adoption and improve volunteers x opportunities matching.
Final impact — a step-change in performance
After improving each sub-goal, the feature’s impact increased dramatically — 8.8× more applications when comparing the first six months of 2024 and 2025. Another satisfying result: the application validation rate is +11 pts higher than the platform average.
What's next? I think the two best options for us is to continue improve the feature adoption and improve volunteers x opportunities matching.
Final impact — a step-change in performance
After improving each sub-goal, the feature’s impact increased dramatically — 8.8× more applications when comparing the first six months of 2024 and 2025. Another satisfying result: the application validation rate is +11 pts higher than the platform average.
What's next? I think the two best options for us is to continue improve the feature adoption and improve volunteers x opportunities matching.
x8.8
comparing first 6 months of 2024 and 2025
x8.8
comparing first 6 months of 2024 and 2025
x8.8
comparing first 6 months of 2024 and 2025
x8.8
comparing first 6 months of 2024 and 2025
+11 pts
compared to the platform average
+11 pts
compared to the platform average
+11 pts
compared to the platform average
+11 pts
compared to the platform average
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Let’s make things easier — together
Whether you need support on a project or a designer to join your squad, let's chat 💬


Let’s make things easier — together
Whether you need support on a project or a designer to join your squad, let's chat 💬


Let’s make things easier — together
Whether you need support on a project or a designer to join your squad, let's chat 💬


Let’s make things easier — together
Whether you need support on a project or a designer to join your squad, let's chat 💬

