Six research reports built from real OKR rollouts — not consultant surveys. Free to read, free to cite, no email gate. Use the numbers in your board deck, your strategy document, or your next article.
83% of organizations are actively using AI in their OKR process today — drafting objectives, summarizing check-ins, surfacing risks. But only 13% trust the output enough to use it without substantial human refinement.
Goal-setting season produces objectives that look strong on paper. The reality, in anonymous survey responses from 210 full-time employees: most goals are written to be safely achievable, not actually ambitious.
Across 200+ organizations and 12,000 objectives, the single behavior most strongly correlated with goal completion isn't how the OKRs were written. It's how often the team checks in.
When asked whether their OKRs cascade up to company priorities, 65% of teams said no. The OKRs exist. The cycles run. The check-ins happen. But the work isn't connected to anything bigger.
Across 330 organizations, the median return on OKR software investment is 1:25. Calculated from completion lift, time saved on status reporting, and the reduced cost of strategic drift.
Each report includes the headline findings, the methodology, and the underlying data. No email gate, no PDF wall.
The first benchmark to measure AI adoption, cascade speed, mid-cycle behavior, scoring culture, cross-functional ownership, and onboarding windows — the variables nobody else has tracked. Technology sector, 51–200 employee orgs, no OKRs Tool customers in the sample.
Read the full reportThe execution habits behind successful OKR rollouts. Check-in cadence, alignment gaps, completion rates — measured cycle-over-cycle, not point-in-time. Includes the 43% cadence lift and 65% alignment gap findings.
Read the benchmarkWhat employees actually do during goal-setting season. Anonymous survey of 210 full-time employees across industries. Goal-gaming, sandbagging, watermelon reporting, and what happens when ratings depend on OKR scores.
Read the surveyThe financial case for OKR software, built from the results of 330 organizations and 7,857 Key Results. Includes a calculator so you can map the numbers to your own team size and plan.
Read the ROI studyFirst-party data from OKRs running on OKRs Tool. 12,000 objectives and 28,000 Key Results analyzed for the patterns that separate high-performing teams from the rest — observed, not self-reported.
See the patternsAn earlier dataset focused on startup adoption patterns. ICP was narrower than our current 50–200 person focus, but findings on first-cycle adoption friction still hold up. Mostly superseded by the 2026 reports.
Read the legacy studyTwo sources combined into six reports. No paid panels, no consulting-firm extrapolation.
All data is free to cite in articles, books, board decks, conference talks, and academic work. A backlink to the source report is the only ask.