HopeStage’s work brings together education, community and lived-experience insight. We start with the practical questions a team needs to understand and the people whose experiences can inform that work.
Clément, Manon and Julien from HopeStage.
AI-Ready Patient Insight Sprint
Definition
Qualitative patient research converted into structured insight for human teams and AI tools.
Best for
Market research, patient need discovery, early product validation, study design input, patient understanding.
Typical timeline
2 to 4 weeks
Do not use for
diagnosis, treatment recommendation, statistical proof, or replacing clinical evidence
Inputs accepted
research question
target condition
target geography
study or product description
interview guide if available
existing transcripts if available
patient-facing materials if available
Outputs delivered
5 to 10 qualitative interviews
cleaned transcripts
thematic analysis
patient needs and motivations
trust barriers and objections
patient language map
anonymized quotes
AI-ready structured insight file
human-readable insight report
AI-Ready Recruitment Review
Definition
Review of study pages, ads, recruitment flows, and patient-facing materials to identify trust and conversion barriers.
ethics approval, guaranteed enrollment, or replacing the study team
Inputs accepted
study page URL
trial registry link
protocol summary if available
recruitment ads
landing page
FAQ
pre-screening flow
email or SMS sequence
Outputs delivered
trust barrier map
patient confusion points
language recommendations
FAQ recommendations
pre-screening friction notes
prioritized improvement list
optional rewritten patient-facing copy
AI-ready recruitment notes
AI-Ready Adoption Strategy
Definition
Adoption strategy for mental health products, diagnostics, clinics, digital health tools, and research programs.
Best for
Digital health, diagnostics, apps, services, clinics, research platforms, AI mental health tools.
Typical timeline
3 to 6 weeks
Do not use for
medical advice, clinical safety assessment, or regulatory validation
Inputs accepted
product or service description
target users
current onboarding flow
current messaging
user feedback
usage data if available
interviews or transcripts if available
Outputs delivered
adoption barrier analysis
persona and motivation map
trust architecture
onboarding recommendations
content and messaging strategy
retention and feedback loop recommendations
AI-ready adoption dataset
execution roadmap
AI-Ready Recruitment Activation
Definition
Monthly support to improve recruitment through patient-friendly content, landing page recommendations, pre-screening flows, and learning loops.
Best for
Active recruitment for mental health studies, pilots, or research programs.
Typical timeline
Monthly support
Do not use for
guaranteed recruitment volume, medical screening, or consent collection unless managed by the authorized study team
Inputs accepted
active study or pilot
recruitment objective
target population
current funnel
current materials
approval constraints
study team contact process
Outputs delivered
patient-friendly page recommendations
ad and content angles
pre-screening flow recommendations
education content plan
conversion and drop-off feedback loop
qualitative learning loop for AI tools
monthly recommendations
Patient Acceptability Sprint
Definition
Rapid test of whether people affected by a condition understand, trust, and would consider a study, treatment, product, or research program.
Best for
Before launch, before recruitment spend, before product build, before protocol communication finalization.
Typical timeline
1 to 3 weeks
Do not use for
clinical validation, regulatory approval, or statistical market sizing
Inputs accepted
concept
study summary
product description
target patient group
key claims or value proposition
risk or burden information
draft messaging
Outputs delivered
acceptability score
trust and concern map
perceived benefit analysis
perceived burden analysis
patient language recommendations
go, refine, or pause recommendation
AI-ready acceptability notes
Ethics, trust and community reach
HopeStage is built around lived experience, community trust, and responsible mental health communication. HopeStage works with real people, not abstract datasets. Our work with AI-enabled research teams is not about extracting data from people. It is about helping research teams understand people more clearly, communicate more responsibly, and design recruitment or adoption journeys that respect trust, consent, and human context.
HopeStage does not sell private health data. Qualitative interviews, transcripts, and community insights should only be used with appropriate consent, anonymization, privacy protections, and ethical boundaries. Clinical, legal, regulatory, ethical, medical, consent, and eligibility responsibilities remain with the authorized study team.
Community and audience footprint
HopeStage currently reaches a broad francophone mental health audience through complementary channels. These figures are approximate and may overlap across platforms.
Channel
Approximate footprint
Notes
Facebook
Around 8,000 members in the main peer-support group
Core francophone community around bipolarity and lived experience
Facebook
Around 600 members in the loved-ones group
Community for relatives and supporters
Facebook
Around 500 members in the peer-support worker group
Smaller specialized community
Facebook page
Around 4,800 followers
Public-facing education and updates
YouTube
Around 4,500 subscribers
Thematic videos, conversations, and “Parole de bipolaire” episodes
Podcast
Around 1,000 listens per episode across Spotify and other platforms
Visible francophone podcast focused on bipolarity
Website
Around 14,000 active users per month
Public education and research discovery
Newsletter
Around 5,000 subscribers
Direct audience for education, research and community updates
LinkedIn HopeStage
Around 2,000 followers
Professional and institutional visibility
TikTok
Around 450 followers
Early-stage channel
Instagram
A couple of francophone accounts, currently low activity
Limited current traction
X
No significant traction at this stage
Not a priority channel
Personal and partner amplification
Channel
Approximate footprint
Notes
Léa Vigier Instagram
Around 12,000 followers and around 50,000 views per post, with around 2 posts per week
Strong lived-experience and advocacy reach
Léa Vigier LinkedIn
Around 26,000 followers and around 30,000 views per post, with around 2 posts per week
Strong professional and public visibility
Léa Vigier YouTube
Around 600 subscribers, currently low publishing activity
Documentary and short-film presence
Clément Baissat LinkedIn
Around 24,000 followers, currently low activity
Professional founder network
Across owned HopeStage channels and mobilizable personal networks, the ecosystem represents around 100,000 audience touchpoints, with a particularly strong community core through Facebook groups and Léa Vigier’s public networks.
These figures should be treated as indicative audience signals, not guaranteed recruitment volumes. Actual recruitment outcomes depend on the study, condition, geography, eligibility criteria, patient burden, trust, and the level of qualification required.
Recruitment pricing depends on the study
HopeStage uses a study-dependent pricing model. Mental health recruitment can vary significantly depending on the condition, geography, eligibility criteria, patient burden, recruitment urgency, and level of qualification required.
The goal is not to sell cheap leads. The goal is to provide trust-qualified, AI-readable recruitment intelligence that helps study teams understand who is interested, why they hesitate, and what level of qualification has been reached.
Default pricing structure
Setup fee
Price per qualified lead
Optional monthly recruitment activation fee
Optional success-based component, only when legally, ethically, and operationally appropriate
AI-Ready Recruitment Starter
A clear starting package for AI-enabled research teams that need to evaluate or activate recruitment.
Setup fee from €5,000 / $5,500
Then per pre-qualified lead:
Depression / anxiety: from €150 / $165
Bipolarity: from €250 / $275
Schizophrenia, psychosis, treatment-resistant depression, or complex studies: from €400 / $440
These are indicative starting points. Final pricing depends on the study, geography, eligibility criteria, recruitment burden, urgency, and level of qualification required. HopeStage does not guarantee enrollment and does not replace the clinical, ethical, regulatory, or medical responsibilities of the study team.
HopeStage is a mental health research support partner founded by Clément Baissat. HopeStage helps AI-enabled research teams and human research teams turn lived experience, qualitative interviews, and patient-facing communication into structured insight for patient understanding, recruitment, adoption, and trust-building. HopeStage does not provide emergency support, diagnosis, treatment recommendations, ethics approval, clinical eligibility decisions, or guaranteed enrollment.
