EXPERIMENTS / AN OPEN LAB
Experiments in making knowledge functional.
There's good research on how organizations work, and most of it never reaches the people who could use it. Each experiment below takes something we know, from research and from our own client work, and turns it into a tool you can put to work today.
01
Start with who you are
A senior leader responsible for results
Someone leading change from the middle
A team that keeps hitting the same wall
02
Or browse all nine experiments
Each one works on its own
FIND THE REAL PROBLEMThe Intake FormDefine your program and prepare to talk to the Superadditive team.
NAME WHAT'S IN THE WAYChange BarriersFind the barriers holding a change back, and a two-week plan to test them.
BUILD MOMENTUMNavigating PoliticsFind a path to gather attention and energy for change.
CHOOSE HOW TO DECIDEThe DeciderFind a decision method that fits, with the tools to run it.
CHANGE HOW THE TEAM WORKSSparksPractical moves for problems that keep getting in a team's way.
FOLLOW AI AT WORKThe FeedEmerging research and new practices of using AI at work.
SPOT WHERE KNOWLEDGE BREAKSBrain DrainSpot where intelligence is lost, corrupted, or ignored at work, and how to respond.
CHOOSE THE TRANSFORMATION PATHTransformation PathingHow much can we change from within, and where do we need a fresh start?
TRACK WHERE AI IS HEADINGAI Futures TrackerSee which of six AI futures are becoming more reachable, and the evidence moving them.
03
This week in The Feed
IN REVIEW · UPDATED OCT 13, 2026Alongside the tools, we scan new research and practice on AI at work from a vetted list of sources and people. Here's what's made the cut.
What the latest reading suggests
- Danish AI-adopting firms reduced employment below trend in 2023, with the steepest drops in AI-exposed roles and small firms trying to hire.
- A working paper finds AI-generated job applications degrade signal quality, pushing firms to lean harder on experience and hurting inexperienced applicants most.
- A meta-analysis of nine evaluations finds AI assistance raises output per hour by 29% on average, but effects on education and labour markets in poorer countries are mixed.