The evidence behind peer-first support
Peer support has decades of research behind it, and intelligent guidance is a newer tool we hold to the same standard. Here is what Chaperone measures, why those measures matter, and how we keep claims honest.
Grounded in established peer-support research, measured in the real world
Peer support is one of the most studied approaches in behavioral health. Chaperone builds on that foundation and adds its own program measurement, so partners can see how trained Peer Coaches and intelligent guidance perform with their actual population.
- Published literature on peer support and care navigation
- Program metrics measured within each deployment
- Human-reviewed quality and supervision signals
“We would rather show a modest number we can stand behind than a dramatic one we cannot.”
Three outcome themes we track in every program
Behavioral-health programs only help if people reach them, stay with them, and feel supported along the way. These are the measures Chaperone reports with each deployment, defined up front and tracked consistently across the program.
Engagement
Whether people connect with a Peer Coach, return for follow-up, and stay in conversation over time. The difference between a program that exists and one that is used.
- First-conversation completion
- Repeat check-ins over time
- Self-reported sense of support
Access
How quickly someone who reaches out connects with a human, and how reliably intelligent guidance routes them to the right next step, without replacing the person on the other end.
- Time to first human connection
- Routing accuracy to the right resource
- Reach across hours and channels
Support continuity
Whether support holds together across handoffs, escalations, and time away, so people are not asked to start over and a trained human stays accountable for the relationship.
- Continuity across handoffs
- Follow-through on escalations
- Supervisor-reviewed quality
The measures Chaperone reports with every deployment
These are the measure definitions Chaperone reports against in each deployment. They are not results from a specific program; actual figures are reported to each partner after data is collected and reviewed.
Defined measures
Human review
Privacy by design
AI held to account
Honest measurement, by design
We define each measure before a program launches, report against it openly, and let supervisors and partners check our work. AI assists with summaries and routing, but people verify what is reported, and we never present assistance as the relationship itself.
- Measures agreed up front, not chosen after the fact
- Partner figures reviewed before they are reported
- Reported within Chaperone’s privacy and governance posture
Related reading
See the research in context: how it plays out in real deployments and what the underlying model looks like.
Case studies
How partners deploy supervised peer support, and what changes for the people they serve.
See case studiesPeer support
The human center of the platform: what trained Peer Coaches do, and what peer support is and is not.
Explore peer supportSafety & escalation
How conversations are kept safe by design, with humans accountable for every escalation path.
Review the approachRelated pages
Want to see how we would measure outcomes for your population?
Talk with our team about the measures that matter to you, or get routed to the right support path. Whichever you need next.