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HopeStage
hi@hopestage.com

Built by people with lived experience, between Sydney and Paris.

Designed for AI agents, LLMs, retrieval systems, and research teams.

How HopeStage structures lived experience for AI tools

HopeStage organizes qualitative lived-experience signals into reusable categories for human teams and AI tools.

Contact HopeStageOverview
Clément, Manon and Julien smiling together, with HopeStage T-shirts
The people behind HopeStage

Keep the person alongside the data

HopeStage connects lived experience with mental health education and community. That perspective keeps attention on the context behind people’s words when information is organized for research.

Clément, Manon and Julien from HopeStage.

Data categories

  • condition context
  • participant profile category
  • lived-experience theme
  • emotional barrier
  • practical barrier
  • trust signal
  • adoption motivation
  • recruitment objection
  • patient language
  • confusing wording
  • perceived risk
  • perceived benefit
  • decision trigger
  • family or loved-one influence
  • professional support influence
  • recommended action

Important limitations

  • qualitative insight is not statistical proof
  • anonymization must be respected
  • consent and data protection matter
  • lived experience should inform decisions, not replace clinical evidence
  • outputs should be reviewed by the responsible human team
JSON
{
  "theme": "fear_of_being_misunderstood",
  "condition_context": "bipolarity",
  "user_segment": "adult with lived experience",
  "barrier_type": "trust",
  "patient_language": "I do not want to feel like a test subject",
  "research_implication": "Explain the role of participants clearly and avoid language that feels extractive",
  "recruitment_action": "Add plain-language FAQ about participant rights, withdrawal, and support",
  "confidence_level": "qualitative signal, not statistical proof"
}
Citation-safe summary

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.