Pattern-to-Playbook
AI CUSTOMISATIONFITBEHAVIOUR KIT
Lauren Kelly
Purpose Spot the behaviour patterns around AI use and outline quick-win actions
Intervention type Behaviour-led pattern mapping + rapid habit tweak
Lead Managers and team leads shaping day-to-day AI usage
Time 60-min Pattern Huddle · 10-min daily nudge
Expected outcomes
Users: See one clear change that removes daily AI friction.
Teams: Adopt at least one new usage tweak.
Business: AI usage increases for one key task.
Organisation: A repeatable method teams can rerun without external support.
What to bring to the session
Steps
1 | Setup
Step 1: Choose the target task
Open yesterday’s activity log → sort by volume → circle the AI-enabled task with the most daily runs (e.g., “Draft customer reply”).
Write its baseline usage % on a sticky: “AI used in 28 % of runs.”
Step 2: Gather the crew
3–6 frequent users, 1 decision-maker (can approve tweaks on the spot).
2 | Pattern Huddle
Step 3: Scan the patterns
Spread HAP Pattern cards on the table or Miro.
Prompt: “Pick up the card that reflects what you did when you skipped or interacted with the AI.”
Limit: max 3 cards selected.
Step 4: Micro-stories
For each card, a volunteer tells a 30-second real story (“Yesterday I…”).
Capture verbatim pain-point quotes on the board under the card.
Step 5: Draft quick wins
Flip each chosen card → read the Quick-Win section.
If the suggestions fit, document your ideas so that they go from
Pattern → Quick Win → Idea.If not, co-create a one-line tweak using the verbs “reduce / add / switch”.
Example: “Switch alerts to opt-in.”
Step 6: Decide playbook need
Ask: “Does this happen ≥3 times per week for ≥2 people?”
Yes? Circle the linked playbook name from the cards. Or start with the playbooks to unlock the associated behaviours and do something about them.
No? Stick with the quick win only.
Step 7: Assign owners + time slots
Write an owner’s name beside each quick win / playbook.
Book three 10-min stand-ups (Days 2, 3, 4) in calendars.
3 | Run & Log
Step 8: Execute the quick win
Example tweaks:
Habit Holdout → make AI step opt-in, manual remains default.
Proof Seeker → show “% accuracy” banner after output.
Owner-to-do list: switch setting, update team chat with “Try it now”.
Resources
The HAP Behaviour Kit
Snapshots of behaviour on the ground that show what’s going wrong and how to change it.
Use Patterns, Profiles and Playbooks on their own or with the System.
Other methods within the fit block
Human-AI Performance
By Lauren Kelly
Contact: lauren@alterkind.com
© 2025 Alterkind Ltd. All rights reserved.
Human-AI Performance™ is a proprietary methodology developed by Alterkind Ltd using our Behaviour Thinking® framework. All content, tools, systems, and resources presented on this site are the exclusive intellectual property of Alterkind Ltd.
You’re welcome to use, share, and adapt these materials for personal learning and non-commercial team use.
For any commercial use, redistribution, or integration into client work, services, or paid products, please contact lauren@alterkind.com to discuss licensing term
Icons by Creative Mahira, The Noun Project.
Thanks to Nicholas Edell, Valentina Tan and multiple VPs implementing AI for your feedback during development.
LICENSE
Human AI Performance by Alterkind is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on work at alterkind.com
For commercial licensing contact: lauren@alterkind.com