Every engagement follows a rigorous prototyping process.
We are comfortable not knowing what will happen. Rather than seeking certainty, we let our curiosity uncover new insights.
Our approach is to zoom in and out between the smallest of environmental details and the broadest of systems that shape human behaviors. We put the big picture and the realities of people’s everyday experiences into perspectives, and that duality informs how we apply behavioral science in every way.
At BSJ, we allow ourselves to geek out over the wording of a single message or the timing of a reminder prompt that might change behaviors, but we are also not afraid to go back and ask ourselves, “What behavior are we actually trying to change here?”
When we deploy such an approach, we can avoid becoming attached to programs or ideas that are clearly falling short.
Rather than stepping back to reconsider the problem, it is all too easy to defend the original idea, dismiss criticism, and continue investing more time, money, and energy into an approach that is no longer working. Behavioral scientists know this too well as the escalation of commitment, and we will help you avoid it.
That is why before recommending anything, we spend time understanding what is actually happening in your organization.
3-Step Process
Step 1
Understand
We begin with deep behavioral diagnostics.
Clarify goals: What is the desired business outcome, and why does the target behavior matter?
Diagnose the context: We talk to your people, observe what happens, and look at the data. We try to understand the gap between intention and behavior.
Step 2
Design
Following diagnosis, we design behaviorally-informed interventions.
Practical solutions: From a simple tweak to organizational redesign, we make the desired behavior easier to adopt.
Evidence-based: Every solution is grounded in evidence and tailored to your organizational context.
Step 3
Measure
We measure what works, what doesn’t, and why.
Evaluate impact: Before we start, we agree on what success looks like in concrete, observable terms.
Iteration: We track the right signals (beyond just satisfaction surveys), and adjust as we go, so you know whether it works.