Duolingo Super shows a three-step trial timeline

The psychology

Why it nudges

Duolingo's trial relies on the default: it auto-renews unless you act. The timeline is the honest disclosure, spelling out the charge date and promising a reminder, which reduces fear of a surprise charge (regret aversion). Results are not public.

● Strong evidence · More on default effect / status quo bias, with sources →

Context

Duolingo Super page, captured 16 Oct 2026 from the UK. Compare Calm's trial-start disclosure in this library.

Honest nudge or dark pattern?

Honest nudge

Honest nudge: this is the opposite of a hidden auto-renew. See deceptive.design on forced continuity. See deceptive.design/hidden-subscription.

Steal this, honestly

Show the trial as a dated timeline: today, reminder day, charge day.
Promise a reminder and send it.
State the cancel cut-off in hours.

What to test: Trial page with vs without the timeline. Measure trial starts and chargebacks.

Next: run it on your product

Apply this with your agent

Take the steps above into your own flow. The prompt carries this teardown, the honest-vs-dark line and the steps.

You are helping me apply a behavioural-design pattern ethically.

Pattern: Duolingo: Duolingo Super shows a three-step trial timeline
Bias: Default effect / status quo bias: People tend to stick with whatever is preselected or already happening.
Why it nudges: Duolingo's trial relies on the default: it auto-renews unless you act. The timeline is the honest disclosure, spelling out the charge date and promising a reminder, which reduces fear of a surprise charge (regret aversion). Results are not public.
Our verdict: Honest nudge. Honest nudge: this is the opposite of a hidden auto-renew. See deceptive.design on forced continuity.
Source page: https://nudgeswipe.com/examples/duolingo-super-trial-reminder-timeline/ (JSON: https://nudgeswipe.com/api/teardowns/duolingo-super-trial-reminder-timeline.json)

Rules: say a brand "uses" a tactic, never that it "worked"; outcomes are not public unless the company published them; no invented uplift estimates; flag mixed evidence. Honest nudge = true, visible, easy to reverse, and in the user's interest. Dark pattern = hides costs, fakes scarcity or popularity, shames, or makes leaving harder than joining. Quote company-published results as "X reports", with the source link, and don’t generalise them. Don’t cite retracted or failed-to-replicate studies as support (e.g. Ariely & Wertenbroch 2002). Don’t state study figures unless they’re on this page or in a source you can link. If an idea crosses the line, link the matching deceptive.design pattern.

Tasks:
1. Ask me for my product, the flow (URL or screenshots) and the goal.
2. Audit where this pattern already appears, or could, in that flow.
3. Propose 2-3 ethical experiments: hypothesis, variant copy or UI, primary metric, and a guardrail metric (refunds, complaints, cancellations).
4. Flag every dark-pattern risk and say how to stay on the honest side.

Open in ChatGPT Open in Claude Open in Grok Open in Cursor

ChatGPT, Claude, Grok and Cursor open with the prompt filled in (it is also copied, in case the prefill doesn't load). Gemini and Codex don't support prefilled links, so the prompt is copied and the app opens; paste it in.

Sources

Our capture of duolingo.com, 16 Oct 2026
Johnson & Goldstein (2003), Do defaults save lives? Meta-analysis: Jachimowicz et al. (2019). Status quo: Samuelson & Zeckhauser (1988). doi.org/10.1126/science.1091721
deceptive.design: hidden-subscription

Duolingo Super shows a three-step trial timeline

Why it nudges

Honest nudge

Apply this with your agent

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