# Learn Learning isn't what happens after the work. Learning **is part of the work** — otherwise you're just repeating effort with better storytelling. ## Start here if - You shipped something and want the learning to stick. - You want improvements without theatre or blame. - You're running experiments and need review triggers. Try next: - [[15-minute Review]] - [[Tripwire Template (5 min)]] - [[Learning System Library Map]] ## Run one small move - after a miss or outage: [[Blameless Incident Learning (30 min)]] - Extract learning that survives: [[Golden Extraction (30 min)]] - Build a lightweight learning system: [[Minimal Learning System (30 min weekly)]] - Map: [[Learning System Library Map]] - Retro for system signals: [[Sprint Health Radar Retro (35 min)]] - Check alignment quickly: [[Teach-back Loop (25 min)]] - Reduce knowledge drift: [[Knowledge Friction Scan (15 min)]] - Learn fast under uncertainty: [[Agility Loop (10 min)]] - Design safe-to-fail probes: [[Safe-to-Fail Probe Design (45 min)]] - Check stretch vs stress before you burn the team: [[Stretch vs Stress Check (5 min)]] - Lens: [[Learning Agility Under Uncertainty - Deep Dive]] - Learn the tacit/explicit boundary: [[Tacit Knowledge Needs Context and Conversation]] - Use dialogue to build shared meaning: [[Dialogue and Critical Pedagogy (Freire) - Deep Dive]] - Spot the hidden learning rules: [[The Hidden Curriculum of Organizational Learning - Deep Dive]] - Upgrade learning into local design: [[When Learners Become Designers - Deep Dive]] - Repair after friction: [[Repair After Friction (25 min)]] - Update a belief explicitly: [[Updating Beliefs]] ## What "good" looks like You can answer: - what did we learn - what will we do differently - how will we know it worked - when do we review If learning keeps disappearing, look for system patterns: - [[Accountability Sinks - Deep Dive]] - [[Decision Drift (When Temporary Becomes Permanent)]] ## Design conditions for learning If a loop isn't working, don't push harder. Change the conditions so the loop can produce information again. - Stance: [[Host as Conditions Designer]] - Tool: [[Constraints Canvas (10 min)]] - Recipes: [[One Variable Practice (15 min)]], [[Representative Challenge (20 min)]], [[07_Tools/Success Signals Check (7 min)]], [[Debrief Without Blame (10 min)]] - Golden flow: [[From Stuck Ritual to Constraint Tweak to Learning Loop (Golden Flow)]] ## The inference backbone A lot of "disagreement" is actually people standing on different rungs of inference. Owlery makes those rungs visible so the loop stays adult-adult. - Lens: [[Ladder of Inference]] - Quick reset: [[Ladder Check (7 min)]] ## Learning system library If learning matters at the team or organisation level, it needs structure beyond individual tools. Here are the building blocks: ### Patterns - [[Learning Loop Design Patterns]] — five repeatable loop shapes that fit real work - [[From Information to Action]] — how observations become decisions and commitments ### Artefacts - [[Making Learning Visible]] — what visibility means without surveillance - [[Learning Artifacts That Travel]] — small artefacts that carry learning across time and people ### Cadence - [[Spaced Learning and Review Rhythms]] — why teams forget improvements and how cadence prevents it ### Cohorts - [[Cohorts and Peer Learning Circles]] — peer learning as an alternative to centralised training - [[Mentoring for Culture Transfer]] — how tacit knowledge moves through relationships - [[Reverse Mentoring]] — learning flows both directions across seniority ### Measurement - [[Learning Signals and Metrics Without Weaponization]] — signals that improve the system without creating silence - [[Feedback Maturity - From Occasional to Everyday]] — the maturity arc from ad hoc to embedded feedback ### Anti-theatre - [[Learning Theatre Tripwires]] — five signs that your learning system has stopped working; the repair moves for each ### Onboarding - [[Learning Backlog and Certification]] — structured knowledge transfer for new team members ## References - Chris Argyris, double-loop learning (overview): https://en.wikipedia.org/wiki/Double-loop_learning - Amy C. Edmondson, psychological safety (overview): https://en.wikipedia.org/wiki/Psychological_safety ## See Also - [[Learning Loops Map]] — the map that operationalises this pillar; all learn-tier routes live here - [[Learning System Library Map]] — the full pattern catalogue for building a team learning system - [[Psychological Safety Map]] — safety is the precondition for learning; without it, people don't surface what they actually learned - [[Sensemaking Map]] — learning from ambiguous or complex situations requires sensemaking first; the upstream step when the cause of failure isn't obvious - [[Behavior Change Is Not Linear]] — the reminder that improved learning doesn't follow a straight line; relapse and plateau are part of the pattern