"What kind of reality are we trying to create?" This simple yet profound question lies at the heart of product and service design in Start at the End by Matt Wallaert, where behavioral science meets systematic innovation.
1. Start with a Gap: Moving from Real to Ideal
The process begins by identifying a gap between the world as it exists and the optimal world we want to create. This observation is called a “potential insight.” Recognizing this gap enables designers and innovators to focus on behaviors that need changing rather than just features or aesthetics.
At Microsoft, while working on Bing, the author observed that children were not using search engines in schools to the expected level. This raised the question: what was stopping curious students, in an ideal learning environment, from interacting with a tool that could answer their questions instantly? This example highlights how small observations can expose significant opportunities for improvement.
However, these are mere suspicions until validated. Data and observation support the process. Understanding how children used computers at schools verified the insight that students conducted fewer than one search per day. This confirmed an actual gap between desired and current behavior.
Examples
- Bing’s observation of children’s minimal use of search engines in classrooms.
- Healthcare research that looks at flu vaccine hesitancy within vulnerable demographics.
- Observing a missed fitness app goal despite widespread smartphone presence.
2. Shape Your Ideal World with a Behavioral Statement
Once you pinpoint the gap, formalizing it into a behavioral statement becomes the next step. This statement concisely encapsulates the behavior you wish to inspire, the people involved, and the conditions for success.
The behavioral statement is made up of five parts: behavior, population, motivation, preconditions, and measurement. For instance, Uber’s launch focused on encouraging San Francisco residents with smartphones to take rides. Their behavioral statement helped clearly identify the behavior (taking Ubers), the target population (San Francisco residents), and necessary conditions (smartphones and connectivity).
The statement is not only about identifying behaviors but also rooted in measurable outcomes. Whether it's ride counts or sales figures, this clarity transforms vague goals into specific, actionable targets.
Examples
- Uber: Clear targeting of smartphone owners in San Francisco to measure ride adoption.
- Fitbit: Encouraging users to meet daily step count goals as a measurable health behavior.
- Recycling campaigns: Behavior statements that promote proper waste segregation.
3. Map Pressures: What Pushes and Pulls Behavior
Promoting or inhibiting forces surround every behavior. Mapping them reveals why people act (or don't act) in particular ways and provides crucial inputs for nudging their behavior.
For example, M&Ms are tasty (a promoting pressure) but might be avoided because of health concerns (an inhibiting pressure). Both depend on context. Access to sugary snacks might change resistance levels; availability nearby can encourage quick consumption, while distant access deters.
These pressures are dynamic. In health campaigns, fears of harm from vaccinations might create inhibiting pressures, while awareness of life-saving benefits acts as a promoter. Breaking down these forces helps balance the equation more effectively.
Examples
- M&Ms' bright colors as irrational promoters of consumption.
- Healthy food marketing balancing calorie concerns with visual appeal.
- Uber promoting convenience while addressing hesitations about sharing rides with strangers.
4. Context Shapes All Behavior
Behavioral pressures shift with context, making them more complex than they appear at first glance. External conditions significantly influence which pressures emerge as dominating.
For instance, M&Ms may appear indulgent yet inviting at children’s parties (promoting pressure), but inappropriate at a formal dining event (inhibiting pressure). Context-dependent factors like hunger or social norms flip these pressures rapidly, showing their fluid nature.
Everyday decisions illustrate this fluidity. The value of an item, such as M&Ms, depends heavily on affordability in different socioeconomic contexts. Thus, observed behaviors may vary based on changing environments.
Examples
- Flu shot concerns linked to historical medical distrust in minority communities.
- Expensive perfumes seen as desirable gifts due to exclusivity.
- Seasonal factors shaping ice cream sales (e.g., hot summers).
5. A Clear Picture Emerges Through Pressure Maps
Organizing and plotting pressures provides clarity about what drives, delays, or stops the desired action. Pressure maps visually balance these elements, revealing how to tilt outcomes toward the desired behavior.
The Clover Health case illustrates this. African Americans weren’t opting for flu shots due to mistrust and weak promotional messaging about the vaccine’s benefits. A pressure map clearly revealed how strong historical inhibitions overpowered weaker promoters.
A well-constructed map acts as the foundation for designing interventions. Once these factors are transparent, steps to strengthen positive forces and minimize resistance become clear and actionable.
Examples
- Flu shot hesitations versus strengths like community endorsements.
- Promotional campaigns prioritizing key motivators such as discounts.
- Safety concerns mapped against driving modern use of ride-sharing services.
6. Intervene Strategically on Behavioral Pressures
After recognizing the promoters and inhibitors, it’s time to devise intentional interventions to alter behavior. Instead of reshaping the world entirely, small nudges can make a big difference.
For flu vaccinations, one effective intervention was partnering with trusted community figures like church leaders. Their influence addressed distrust and encouraged people to accept vaccinations. Interventions focus on tackling either inhibiting or promoting factors—or both simultaneously.
These subtle shifts in pressures allow behavior to align subtly with desired outcomes. The goal isn’t control—it’s gentle guidance.
Examples
- Uber incentivizing drivers, increasing fleet availability (lower rider wait times).
- Marketing running shoes with campaigns timed during marathon seasons.
- M&Ms changing packaging size to encourage more frequent consumption.
7. Ethics First: Are Your Goals Aligned?
Before acting on interventions, understanding their ethical ramifications becomes vital. Ask if the behavior you’re promoting reflects the population's goals.
For example, tobacco companies appeal to "coolness" while ignoring health consequences. However, campaigns encouraging vaccinations aim to directly match collective health goals. Evaluating benefit versus harm requires honest observation free from manipulation.
Behaviors that improve lives—without exploitative intent—are aligned effectively. Transparent, open approaches build trust, moving away from deceptive practices.
Examples
- Anti-smoking ad campaigns focusing on youth protection.
- Social media tools highlighting productive content versus endless scrolls.
- Climate awareness brands promoting sustainable goods over single-use ones.
8. Ethics in Execution: Do Your Means Justify the End?
Just because your goal is valid doesn’t mean your methods should cross ethical boundaries. Overly aggressive tactics, even for worthy causes, can backfire or harm relationships.
When clover health debated possibilities such as fear-based interventions, they ultimately relied on trust-building strategies, rejecting scare tactics. Whether communicating positively or creating urgency, the message must always align ethically with intent.
Balancing honesty and effectiveness ensures that interventions serve communities instead of exploiting conditions.
Examples
- Fearless transparency in campaigns like “Truth” anti-smoking ads.
- Avoiding scare-mongering while encouraging healthy behaviors like jogging.
- Educational field trips instead of textbook lectures highlighting environmental impacts.
9. Start Small, Scale Thoughtfully
Pilot studies enable low-cost testing before massive rollouts. Using small-scale experiments lets organizations understand initial responses with minimal energy wasted.
For example, manually conducting flu outreach, while resource-intensive short-term, saved Clover Health resources otherwise spent refining expensive automation too early. Across industries, validated repeatability drives higher confidence paths scaling things up ethically.
Slow iteration develops more robust scalable ideas maximizing long-standing adoption success sustainably through affordability balance models exploration everywhere scaling critical next.
Examples
- Fast startups exploring manual order fulfillment validate better packaging simultaneously.
- Smartphone app creators A/B tests gathering promotional code uptake ratification diversely behavior.
- Biodegradable merchandise proving seasonality controlled buys perfecting specializing later.
Takeaways
- Observe gaps between the ideal and current world for untapped opportunities.
- Structure behavior change campaigns around ethical methods and alignment with user goals.
- Test innovations cautiously using small experiments before moving to large-scale rollout.