Measure What Matters: Experiments, Pilots, and Analytics
Pick a representative team, set a clear hypothesis, and run short sprints with weekly checkpoints. Compare a control group’s cycle times to the pilot group’s, tracking adoption and errors. Share your pilot hypothesis and we’ll suggest fast, credible ways to validate.
Measure What Matters: Experiments, Pilots, and Analytics
Watch leading signals like adoption rate, time-on-task reduction, and flow efficiency before waiting for quarterly results. Customer wait time and queue length often react quickly. Avoid vanity metrics; instrument the actual moments where work slows down or speeds up.