Sound evidence,
turned into behavior.

Challenges this fits

• You want users and members to build lasting habits - exercise, sleep, diet
• You want employee health and safety behaviors to actually stick
• You want more people showing up for health screenings and public-health programs
• You built a good health app or program - and want design, not luck, to keep it used

What we provide

1. Define the target behavior, review the evidence We start by defining whose behavior, which behavior, and why. We vet what peer-reviewed literature and public data can support - and say so when they cannot.
2. Design a mechanism that lasts We turn behavioral-economics findings - incentive design, commitment, loss aversion - into a mechanism fitted to your audience and context.
3. Design the verification How will we know it worked? Metrics, comparison design and duration are fixed before launch - so the results never claim more than they can.
4. Support implementation and operation We work alongside your development team. Where useful, we can also design operation on our execution platform or by AI agents.

What this stands on

• We practice it ourselvesWe build and operate the behavior-change apps ESPL and ESPL GH. Our hands-on practice centers on walking and habit continuation.
• The evidence disciplineThe same vetting process applies to support work, at the same bar.
• AI operation, running todayWe built and operate the system in which AI agents call our execution platform and drive it from challenge creation through verification and reward distribution - offered as the Kenko Keiei AI Agent Package.

How it starts

Tell us the outline first, within what you can share publicly. Where needed we sign an NDA before going into detail, then propose the scope, form and estimate. It can start as small as sorting out the target behavior.