hktitan/duolingo · Archived

duo-experimentation

Duolingo-style experimentation as a decision protocol — hundreds of A/B tests a week, opinions resolved by data, ideas killed quickly. Covers hypothesis design, metric selection, guardrails, sample size, novelty effects, and explicit kill criteria. Use when the user wants to run an A/B test, decide between two designs without arguing, set up an experiment program, debug why a test isn't moving, or build a culture where "show don't tell" replaces seniority-based decisions. Source the Duolingo Ha…

First seen May 4, 2026

Installation

$ npx skills add hktitan/duolingo --skill duo-experimentation

Summary

  • Duolingo-style experimentation as a decision protocol — hundreds of A/B tests a week, opinions resolved by data, ideas killed quickly.
  • Covers hypothesis design, metric selection, guardrails, sample size, novelty effects, and explicit kill criteria.
  • Use when the user wants to run an A/B test, decide between two designs without arguing, set up an experiment program, debug why a test isn't moving, or build a culture where "show don't tell" replaces seniority-based decisions.
  • Source the Duolingo Handbook (Show Don't Tell) and engineering blog posts.

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Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 3
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
More metadata
author
HKTITAN
version
1.0.0
graph
1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,612 B
  • docs SUMMARY.md 580 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 19 installs

SKILL.md

Duolingo Experimentation — Map of Content

Duolingo runs hundreds of experiments per week and treats the result as the decision, not as one input. The handbook calls this Show Don't Tell: when people disagree, the experiment is the answer, not the more senior person's intuition. This skill packages that protocol.

This skill is structured as a graph: scan the descriptions below, follow only the [[wikilinks]] you need.

The protocol

  • [[references/show-dont-tell]] — the principle: metrics decide, not titles.
  • [[references/hypothesis-design]] — what makes a testable hypothesis vs. a wish.
  • [[references/ab-test-structure]] — variant/control, randomization unit, exposure rules.

Metrics

  • [[references/metric-selection]] — picking a primary metric that actually maps to long-term retention, not the easiest-to-move one.
  • [[references/guardrail-metrics]] — the metrics that must not go down, even if the primary does up.
  • [[references/sample-size]] — how big, how long; the cost of stopping early.

Pitfalls

  • [[references/novelty-effects]] — the lift that decays after week three; how to detect and discount it.
  • [[references/ship-and-iterate]] — when "good enough to ship" beats "perfect to test."

Discipline

  • [[references/kill-criteria]] — the threshold for stopping an experiment instead of milking it.
  • [[references/experiment-cadence]] — weekly review rhythm that keeps "hundreds per week" survivable.

Sibling skills

  • [[../duo-retention/SKILL]] — every retention claim has an A/B test under it; cite both.
  • [[../duo-product/SKILL]] — Ship It and Show Don't Tell are the same culture seen from two angles.
  • [[../duo-culture/SKILL]] — experimentation only works if disagreement is safe; that's a culture problem too.

Sources

  • Duolingo Handbook (2025), Principle #4: Show Don't Tell
  • blog.duolingo.com — engineering and experimentation posts