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GoLearning

Adaptive technical onboarding

v.1.2 · retiredRetired · shipped 2024–2026

An adaptive onboarding platform that replaced static decks with a curriculum responding to where the new engineer actually struggled — driven by codebase activity, not predetermined modules.

GoLearning — Adaptive technical onboardingGoLearning · v.1.2 · retired

Overview / Engineering onboarding

Why we built it

Static onboarding produces engineers who can recite the docs but not navigate the codebase.

The gap between deck-completion and productive contribution is where most onboarding programs fail. GoLearning closed that gap: the curriculum adapted to where the engineer actually struggled, not to where the curriculum author assumed they would.

  • Per-engineer paths
  • Spaced repetition
  • Mentor match
  • Time-to-first-PR

For: Was built for engineering orgs onboarding 5+ engineers per quarter

Ask about the build

The build

What it shipped.

Adaptive onboarding that responded to where a new engineer was actually struggling, driven by codebase activity. Lessons absorbed into flagship operator onboarding.

01 / 04

Per-engineer learning paths

Driven by actual codebase activity.

02 / 04

Spaced repetition

For internal systems and conventions.

03 / 04

Mentor matching by gap

By knowledge gap, rather than seniority.

04 / 04

Time-to-first-PR

Measurement and benchmarking.

Lessons

What we learned.

And what we would do differently.

  1. 01

    Time-to-first-PR is the metric

    The first merged PR is the signal; every other onboarding metric is a leading indicator at best.

  2. 02

    Match mentors by gap

    Pairing by the specific knowledge gap — even with a peer — beat seniority-default pairing.

  3. 03

    Adaptive needs dense signal

    Adaptive systems dominate when activity data is rich; without it, prescriptive systems are honest.

  4. 04

    Intervene earlier

    Day-three struggle signal would have been far more valuable than the one-week mark we started with.

28
Engagements across 14 organizations
38%
Median time-to-first-PR improvement
156+
Adaptive learning paths authored
0
Audit failures
Retired · 2024–2026

Why it’s retired.

Studio focus consolidated to flagship products. Engagements were wound down and learning-path data was returned to operators on request.

Where the lessons live now

  1. 01

    Time-to-first-real-decision

    Operator onboarding in Verum and Auspex pilots measures the one metric that matters.

  2. 02

    Activity-driven adaptation

    Now the default principle for every personalization decision the studio ships.

  3. 03

    Mentor-by-gap matching

    Permanent practice in studio hiring and engineer onboarding.

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