Behavioral Strategy Case Studies
Use these source-linked cases to inspect reported outcomes and possible behavioral explanations. Each case has limits on what its evidence can establish. For a decision-first exercise, use the public teaching cases, with separate student packets and worked analyses.
Publication standard #
This library lists only cases that include:
- at least one Evidence Ledger ID, and
- at least one concrete source behind that evidence (primary source, peer-reviewed paper, filing, or clearly labeled company-reported material).
Draft case notes are kept out of the public index until they meet that standard.
How to read a case #
Each case opens with the headline result, then tells the story:
- Background: the company or system, the context, and (where relevant) the popular story the case corrects
- Behavioral interpretation: candidate explanations, dependent actors, and system choices, with causal limits made explicit
- Case facts box: population, target behavior, measurement window/denominator, key metric, fit ratings, and Evidence Ledger IDs at a glance
- Behavior Fit Assessment: Dispositional Fit, Capability Fit, Context Fit (scores are labeled as examples unless backed by data)
- Evidence hygiene: quantitative claims are either sourced with a primary source + date, referenced via the Evidence Ledger, or explicitly marked approximate; results carry source-quality labels (peer-reviewed, SEC filing, company-reported, press-reported)
For reuse and implementation, see the machine-readable case and measurement templates in the Toolkit (Specs & Templates).
Compare cases carefully #
These cases differ in population, design, evidence quality, and the outcomes they measure. They can suggest hypotheses about behavior selection and support, but their selection and retrospective interpretation do not establish a universal success rule. Compare an existing behavior with feasible alternatives, including removing user work, and test the full delivery chain in the intended setting. The selection guide and public teaching cases show how to record that reasoning. See Synthesis for broader interpretations and their limits.
Published cases #
Featured #
- Spain’s ONT: System Enablement, Not Defaults
- 401(k) Auto-Enrollment: Defaults Work After Fit
- Slack vs Glitch: Same Team, Different Behavior Fit
- Instagram’s Pivot to Photo Sharing
- Airbnb Trust System: Trust Enables High-Stakes Sharing
- Spotify Discover Weekly: Choice Overload → Automation
- Zoom Remote Work Surge: Friction Removal Under Constraints
- Robinhood Zero-Commission Trading: Fee Friction Removal
- Duolingo: Micro-Lessons Beat Traditional Study
- M-PESA: Infrastructure Enables Behavior at Scale
All published cases (by domain) #
Finance & FinTech #
- 401(k) Auto-Enrollment: Defaults Work After Fit
- Acorns: Round-Ups Piggyback on Spending
- YNAB vs Mint: Budgeting Behavior Requires Dispositional Fit
- Robinhood Zero-Commission Trading: Fee Friction Removal
- M-PESA: Infrastructure Enables Behavior at Scale
Health & Fitness #
- ClassPass: Reduce Friction to Try a Class
- Gym Membership Churn: Misfit Behaviors Create Predictable Drop-Off
- Peloton: Home Context Changes Feasibility
- Strava: Social Feedback Reinforces Repeat Action
- Couch to 5K: Scaffolding Lowers the Barrier to Start
- Meditation Apps: High Drop-Off When the Behavior Is Misfit
- Digital Health Onboarding: Friction Kills Early Adherence
- HIV Adherence: Context and Constraints Dominate Motivation
- Meal Kit Churn: Convenience Has a Context Half-Life
Technology & Media #
- Slack vs Glitch: Same Team, Different Behavior Fit
- Discord: Community Behaviors Compound When the Constraints Are Right
- Figma: Multiplayer Collaboration Removed a Coordination Barrier
- Instagram’s Pivot to Photo Sharing
- Spotify Discover Weekly: Choice Overload → Automation
- TikTok vs Vine: Creation Friction and Distribution Constraints
- YouTube Pivot: Behavior Fit Beat Product Vision
- Netflix vs Blockbuster: Convenience and Behavior Chains Win
- Waze: Crowdsourcing Works When Contribution Friction Is Low
- Zoom Remote Work Surge: Friction Removal Under Constraints
Platforms & Trust #
Workplace & Services #
- Open Offices: A “Culture” Intervention That Backfired
- Server Training: Process Enablement Changes Service Behaviors
- Proposify: First Proposal Activation Signal