How can design of public services could make sustainable behaviours the default

- Paraphrase of the selection (1–2 sentences). Salzer recommends experimenting with small, low‑risk design changes and testing them before rolling them out widely. This catches problems early, avoids harmful or ineffective “default” choices, and helps ensure changes are fair to different groups. - Key terms - Iteration — repeating a design cycle: make a change, test it, learn, and revise. - Testing — running trials or pilots to see real user responses before full implementation. - Backfiring default — a default option that produces unintended negative consequences (e.g., people opt out, confusion, unequal harm). - Equity — treating different groups fairly; checking that changes don’t disproportionately hurt vulnerable people. - Why it matters here (2–3 bullets) - Prevents harm: small pilots reveal whether a sustainable default actually works or whether it causes confusion, distrust, or extra costs for some people. - Protects equity: testing shows if low‑income or vulnerable groups are disadvantaged, letting designers adjust supports (subsidies, exemptions, information) before scaling. - Improves effectiveness: iterative feedback lets designers simplify friction points, refine messaging, and increase uptake without coercion. - Follow-up questions or next steps (1–2) - Which public service or default change do you want to pilot first (e.g., green energy default, composting bins, transit pass)? - Who are the groups we should include in trials to check equity (low‑income households, renters, non‑English speakers)? - Further reading / references (1–2 items) - Designing for Behaviour Change — Samuel Salzer (search query: "Designing for Behavior Change Samuel Salzer") - Nudge: Improving Decisions About Health, Wealth, and Happiness — Thaler & Sunstein (search query: "Nudge Thaler Sunstein book")## Iteration and testing: try small changes before scaling - Paraphrase of the selection Salzer advises making small, testable design changes (A/B tests, pilots) and measuring their effects before rolling them out widely. This helps spot unintended harms (like worsening inequality) or defaults that people reject, so you can adjust or stop the change. - Key terms - Pilot — a small‑scale trial of a new service or default to learn what happens. - A/B test — comparing two versions (A and B) to see which performs better on a measured outcome. - Backfiring default — a default that produces worse outcomes than intended (e.g., higher costs for low‑income households). - Equity — fairness in who benefits from, or is burdened by, a change. - Metrics — the specific measurements used to judge success (e.g., uptake rate, complaint rate, cost impact). - Why it matters here - Avoids harm: Small tests reveal whether a sustainable default unintentionally burdens vulnerable groups (protects equity). - Prevents wasted effort: Iteration uncovers practical problems (confusing information, logistics) before large investments. - Builds trust: Transparent testing and visible adjustments reduce public mistrust that can make defaults backfire. - Follow-up questions or next steps - Which public service or default would you like to pilot first (e.g., green energy default, organics collection, transit pass)? - Decide up front what metrics matter (equity impacts, uptake, opt‑out rate, user satisfaction) and how long the pilot runs. - Further reading / references - Designing for Behavior Change — Samuel Salzer (search query: "Designing for Behavior Change Samuel Salzer") - Nudge: Improving Decisions About Health, Wealth, and Happiness — Thaler & Sunstein (search query: "Nudge Thaler Sunstein book")