Bottom-Up-Down Approach
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The researchers used a bottom-up approach to understand people's experiences and map system trajectories. They identified variables from successful and unsuccessful cases to build a system map. Testing revealed selective learning showed significant variation and could be a behavioral leverage point for change. The researchers are prototyping a peer-to-peer learning video using role models to change mental models and teach new techniques. In conclusions, the relationship between behavior and systems design was promising, identifying key behaviors with systemic impacts, and testing different levers to find the most promising for change.
Bottom-Up-Down Approach
- 1. Bottom-up-down approach Creating system maps by understanding people’s stories Bruno Rizardi, Daniela Metello
- 2. Overview Our work was based on a design perspective of human experiences, a system approach for modeling causal loops diagrams to find behavioral leverage points for systemic change
- 3. The method Define Situation Field Research Map Trajectories Map System Find behavioral leverage Test behavioral mechanisms Create Solutions
- 5. Typical case trajectory (not successful) Positive deviant trajectory (successful) We mapped both successful and unsuccessful trajectories do determine which variables were relevant for our system map. By tracking how these both trajectories intersected, we were able to identify important variables and turning points for each case, composing a system using user's stories.
- 8. The leverage point (place in the system with potential to enact systemic change) was based on where the user had agency, meaning where in the system decision-making played an important role to determine the variable. Those decision-making moments are behavioral leverage points, combining both agency and systemic-level change potential.
- 9. Behavioral Testing To identify the behavioral mechanisms that could create change, we designed a test with vignettes. The vignettes comprised a standard story and a test version which varied according to the behavioral element that would be tested - mental model, selective learning and intrinsic motivation. The farmers answered questions about the 2 versions so we could compare the results.
- 10. Intrinsic Motivation No significant change was found between control and treatment tests.
- 11. Mental Models Mental models showed negative results.
- 12. Selective Learning Selective learning showed a significant variation.
- 13. Solution prototyping The team designed a peer-to-peer learning experience, using positive deviant role models to change peers' mental model and teach new techniques
- 14. We are testing a video with a successful story
- 15. Conclusions ● The relationship between behavioral sciences and systemic design has proven to be quite promising; ● It is possible to identify people’s key behaviors that seem to have systemic impacts - the use of vignettes has shown good results; ● It is important to test which mechanisms can leverage behavioral changes; ● The use of contrasts between positive deviances/typical case shows what are the key factors in systems; ● If possible, it is important to test different levers to find the most promising.
- 16. Thank you! Bruno Rizardi, Daniela Metello brunomrizardi@gmail.com daniela.metello@enap.gov.br