Behavior Change Game
A structured concept for designing playful interventions that support behavior change in products or organizations.
Classification
- ComplexityMedium
- Impact areaOrganizational
- Decision typeDesign
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Unintended negative behavioral incentives
- Perceived manipulation by users
- Lack of sustainability if implemented poorly
- Ensure transparency toward affected parties
- Iterate with pilot groups
- Conduct ethics reviews before large rollouts
I/O & resources
- Target group analysis
- Measurable behavior goals
- Data sources for monitoring
- Concrete interventions and prototypes
- Metrics and observation plan
- Rollout and evaluation strategy
Description
The Behavior Change Game is a conceptual framework that combines playful elements with structured interventions to deliberately influence behavior. It helps teams systematically analyze situations, levers, and side effects, and to plan practical measures. Use spans product design, user interactions, and organizational routines.
✔Benefits
- Quickly verifiable behavior hypotheses
- Focus on concrete levers instead of generic advice
- Encourages interdisciplinary collaboration
✖Limitations
- Not all behavior changes remain stable short-term
- May raise cultural or ethical concerns
- Requires measurability of target behavior
Trade-offs
Metrics
- Behavior conversion rate
Share of users exhibiting the desired behavior.
- Retention after intervention
Measure of how long behavior changes persist.
- Side-effect indicators
Indicators of undesired behavior changes or harms.
Examples & implementations
Onboarding game in a FinTech product
A small gamification experiment increased completion rates via stepwise tasks and rewards.
Team points for knowledge sharing
Introducing a points system promoted voluntary knowledge documentation within the team.
COM-B supported process change
Using the COM-B model to identify capabilities, opportunities and motivation before interventions.
Implementation steps
Define goals and metrics
Apply COM-B or similar models
Design and measure small test interventions
⚠️ Technical debt & bottlenecks
Technical debt
- Missing infrastructure for long-term measurement
- Hardcoded reward logic without configurability
- Outdated data collection processes
Known bottlenecks
Misuse examples
- Incentives creating unhealthy competition in a team
- Hidden manipulation instead of open communication
- Metric fixation without user context
Typical traps
- Confusing correlation with causation
- Evaluating success indicators too early
- Insufficient segmentation of target groups
Required skills
Architectural drivers
Constraints
- • Privacy and compliance requirements
- • Limited development resources
- • Cultural differences in target groups