2026 · Edition 02 · Published November 2026

The OKR & Strategy Execution Report 2026

Three in four program owners say OKRs met or exceeded their expectations. The programs rated highest share a few habits around the framework: a clear strategy, a steady check-in rhythm, and reviewing progress in the live data instead of in slides.

  • 187 OKR-running companies
  • 1,077 responses
  • 14 industries
  • 9 countries
  • Fielded Q3 2026

Every one of the 187 companies surveyed in 2026 is a Mooncamp customer and was running OKRs when it answered. The findings describe how OKR programs differ from each other, not what adopting OKRs does, and they cannot speak for companies that never tried them.

Expectations met

75%

of program owners say OKRs met or exceeded their expectations. Among programs running two years or more, the share is 86%, partly because programs that disappoint stop before they get old.

Leaders vs. employees

4.1 vs 2.7

How leaders and their own employees rate OKR impact, out of 5, at the same companies.

Programs abandoned

1 in 5

OKR programs we followed were abandoned within four years: 8 of 37.

Status in slides

6 in 10

companies still rebuild OKR status in slides for leadership every cycle: 114 of 187.

Headline findings

What we learned from 187 OKR programs

Six findings from 187 companies running OKRs, each with one thing to do about it. Every number is from the 2026 survey unless it says otherwise, and each finding has its own section further down. OKR impact, the score behind most of them, is how a company’s own people rate what OKRs do for it: the average of eight 1-to-5 ratings, such as alignment, focus and executing strategy, across all of a company’s respondents. The eight group into four areas: transparency and communication, executing strategy, alignment and priorities, and culture and innovation. The top 22%, also called the high-impact group, are the 41 companies that rate impact 3.5 or higher in all four.

  1. Leaders vs. employees4.1 vs 2.7

    Leaders rate OKR impact far higher than their own employees do, most of all on executing strategy.

    Leaders rate OKR impact 4.1 out of 5; employees at the same companies rate it 2.7. The widest gap is on executing strategy, 4.3 vs 2.4; they come closest on team focus, 4.0 vs 3.1. At most companies the only leader who answered runs the OKR program; where two or three leaders answered, the gap shrinks to 0.9 points.

    Do: Ask your teams, not just your leadership, whether OKRs are working.

    See the gap
  2. Program age86% vs 67%

    OKR programs two years and older meet expectations far more often than younger ones.

    86% of programs two years and older say OKRs met or exceeded expectations, against 67% of younger ones. Part of that is survival: programs that disappoint tend to stop before they get old.

    Do: Give a new program two years before you judge it, not one quarter.

    See the four-year view
  3. Live data or slides3.5 vs 2.3

    Companies that review OKR progress in the live data, not in slide decks, rate OKR impact far higher.

    Every company in the study tracks its OKRs in the same software, made by the publisher of this report. What differs is how leadership looks at them. The 73 companies that review progress straight from the live OKRs rate impact 3.5 out of 5, the 32 that rebuild it in slides for every review rate it 2.3, and the 82 that do some of each sit in between. The gap holds among programs of the same age, though companies that drop the deck may also simply take OKRs more seriously.

    Do: Run your next leadership review straight from the OKRs and see what changes.

    See how leadership reviews progress
  4. Strategy4.3 vs 1.6

    Strategy clarity tracks OKR impact more closely than anything else we measured.

    Companies with the clearest strategy rate OKR impact 4.3 out of 5; those with the least clear strategy rate it 1.6. The link holds against the employees’ ratings alone, which the leader’s answers do not feed, and an unclear strategy is the second most common reason programs get shut down.

    Do: Write the strategy down before you write OKRs.

    See the strategy index
  5. Check-ins3.7 vs 2.6

    Companies that check in every week or two rate OKR impact a full point higher than those that check in monthly.

    Weekly and two-weekly check-ins score 3.6 and 3.8 out of 5, level within the margin of error; monthly, the most common rhythm, scores 2.6. Only 83 of the 187 companies (44%) check in every week or two.

    Do: Hold short, regular check-ins every week or two.

    See the check-in curve
  6. Leadership change6 of 8

    Leadership change is the most common reason the OKR programs we studied ended.

    Of the 8 programs we followed that stopped, 6 did so after a new CEO or head of strategy arrived and nobody relaunched OKRs; at companies where no leader changed, 2 of 22 programs stopped. Leadership change is also the top reason among all 32 shut-down programs we studied, 13 of them.

    Do: Treat a leadership change as a reason to relaunch OKRs.

    See why programs stop

Four years on

Satisfaction with OKRs is lower than in 2022, and younger programs explain part of the drop

We first ran this survey in 2022, with 40 companies. This year we asked the same core questions of 187, and we tracked down 37 of the original 40: 31 answered the survey again, and 6 more answered a short follow-up on the status of their OKR program. Three of the five measures we can compare went down. The 2022 baseline is 40 companies, so a difference of about 10 points between the two years is within its margin of error. This section looks at why the biggest drop happened, and then at the companies that moved the other way.

80%
of programs a year or older, the group the 2022 survey covered, say OKRs met or exceeded expectations, against 88% in 2022
11 of 26
companies we could compare with their own 2022 answers rated their program higher in 2026; 9 rated it lower (one respondent per company, both years)
The same questions, 2022 vs. 2026

Whether companies would recommend OKRs, whether OKRs met expectations, and whether they had a positive impact on the company. The 2022 column is the 40 companies surveyed then, as published in 2022; the 2022 report did not publish the expectations and high-impact figures, so those two are tabulated from the 2022 answers. The 2026 column is all 187 companies surveyed this year. In both years these answers come from one person per company: in 2026 the program owner, in 2022 one respondent of mixed seniority.

20222026
  • Would recommend OKRs (average, out of 10)−0.7 points
    2022
    8.5
    2026
    7.8
  • OKRs met or exceeded expectations−13 points
    2022
    88%
    2026
    75%
  • OKRs had a positive impact on the company (agree or strongly agree)−9 points
    2022
    83%
    2026
    74%
  • Share of companies in the high-impact group (2022: one respondent per company; 2026: leaders and employees)+4 points
    2022
    18%
    2026
    22%
  • Have a named OKR coach (OKR Master or Champion)+4 points
    2022
    80%
    2026
    84%
Show the data
Data behind this chart: The same questions, 2022 vs. 2026
Measure20222026Change
Would recommend OKRs8.5 /107.8 /10−0.7 points
OKRs met or exceeded expectations88%75%−13 points
OKRs had a positive impact on the company (agree or strongly agree)83%74%−9 points
Share of companies in the high-impact group18%22%+4 points
Have a named OKR coach (OKR Master or Champion)80%84%+4 points

How much of the drop comes from younger programs

The 84 companies that have run OKRs for two years or longer sit at 86%. The 103 younger ones sit at 67%. A third of this year’s sample, 59 of 187 companies, is in its first year of OKRs, a group the 2022 survey left out: in 2022 a company needed at least a year of OKRs to take part, and this year one finished cycle was enough. Counting only the 128 companies a year or older, the group the 2022 survey covered, 80% say OKRs met or exceeded expectations, against 88% in 2022: 5 of the 13 points go away, and the rest is within the margin of a 40-company baseline. Two cautions. The 2022 survey did not record program age, so this matches the rule for taking part, not the age mix. And the older groups here contain only the programs that lasted long enough to reach them, which flatters them. We cannot check the recommendation or the impact rows the same way.

Where the numbers held up

The high-impact group, companies rating OKR impact 3.5 out of 5 or higher in all four impact areas, is 22% of companies this year (41 of 187), against 18% in 2022 (7 of 40). The two years apply the same bar to similar rather than identical scores, and the difference is within the margin of a 40-company baseline, so the fair reading is that the group has held its ground while the average fell. Three of the six habits it shares repeat findings of the 2022 study: a clear strategy, frequent check-ins, and treating OKRs as something you keep adjusting rather than something you install once.

Of the 31 companies that took part in both surveys, 26 still run OKRs in some form (4 of them only in part of the company) and 5 have stopped. We compared each of the 26 with its own 2022 answers, not with the rest of the sample, using one respondent per company in both years so the two scores are built the same way: 11 rated their program higher in 2026, 6 the same, and 9 lower.

What the 11 companies that improved have in common

10 of 11
Hold a retrospective at the end of every cycle
9 of 11
Check in at least every two weeks
9 of 11
Changed how they run OKRs at least twice since 2022
8 of 11
Let teams propose their OKRs rather than handing them down

Eleven companies is a small group, and the list above describes them rather than testing anything. The 5 companies that stopped running OKRs are not among the 26, because a program that no longer exists cannot be compared with its 2022 answers; counting them as declines would make the split 11 up, 6 level and 14 down. We report the list because this is the only place in the study where the same program is measured twice, and because three of its four traits are also among the six habits the 41 top-scoring companies across the whole 2026 sample share.

Met or exceeded expectations, by program age

Share of companies in each age group that say OKRs met or exceeded expectations. The groups are the same 187 companies, split the same way as the leader-employee gap chart, and together they average out to the 75% above. The dashed line is the 2022 result.

020406080100Met or exceeded expectations →62<6 mon = 21666–12 mon = 38701–2 yrn = 44822–3 yrn = 39893–5 yrn = 28885+ yrn = 17Program age →

2022: 35 of 40 companies

n = 187

Show the data
Data behind this chart: Met or exceeded expectations, by program age
Program ageMet or exceeded expectationsn
<6 mo62%21
6–12 mo66%38
1–2 yr70%44
2–3 yr82%39
3–5 yr89%28
5+ yr88%17

The 2022 companies, four years on

What happened to the 37 of the original 40 companies whose status we could confirm. 24 of the 37 still use OKRs as their main goal system: 16 the same way, 8 with a new rhythm or a hybrid setup. 5 have scaled back and 8 have stopped. Shares are of those 37 and are rounded, so they add up to 101%.

  1. 1643%

    Still running OKRs the same way

  2. 822%

    Changed how they run OKRs, with a new rhythm or a hybrid setup

  3. 514%

    Paused or scaled back, running OKRs in part of the company only

  4. 822%

    Stopped OKRs entirely; switched to OGSM, Hoshin Kanri, or nothing

The clearest warning sign among the 2022 companies was a new CEO or head of strategy: 15 of the 37 had one between 2022 and 2025. In the 7 cases where the new leader relaunched OKRs within their first two quarters, every program is still running; of the 8 whose new leader did not, 6 stopped. Of the 22 companies without a change at the top, 2 stopped. A leader who relaunches is also one who wants OKRs, so this shows the two go together, not that a relaunch saves a program. 12 of the 37 were German mid-sized firms, and only 1 of those 12 had stopped by 2026.

01 · Leaders vs. employees

Leaders rate OKRs 1.4 points higher than their own employees do

We asked leaders and employees at the same 187 companies the same eight questions about what OKRs do for their company. Leaders were more positive on every one of them, and the gap was wider than we expected. At 167 of the 187 companies the leader who answered is the person who runs the OKR program, so the gap is mostly the program owner’s view set against their colleagues’. Where the program owner answered alone, the gap is 1.5 points; at the 20 larger companies where two or three leaders answered, it is 0.9, though 20 companies is a small group.

4.1 vs 2.7

Average OKR impact score out of 5, across the eight questions both groups answered: 4.1 from leaders, 2.7 from their employees. Same companies, same programs, same quarter.

Our leadership team thinks OKRs have transformed the company. From where I sit on the engineering team, they are a dashboard nobody updates and a meeting we sit through once a quarter.
Engineer at a software companyFrom the open-response section of the 2026 survey.
OKR impact, as rated by leaders and by employees

Average score out of 5 on each of the eight impact questions. 213 leaders and 864 employees at the same 187 companies.

LeadersEmployees
  • Transparency about goals and performance1.2 Gap
    4.5
    3.3
  • Executing strategy1.9 Gap
    4.3
    2.4
    Widest gap: 1.9 points
  • Communication between teams1.6 Gap
    4.3
    2.7
  • Team focus on priorities0.9 Gap
    4.0
    3.1
  • Alignment between teams1.7 Gap
    4.0
    2.3
  • Putting resources where they matter1.5 Gap
    4.0
    2.5
  • Company culture1.0 Gap
    3.7
    2.7
  • Innovation1.4 Gap
    4.0
    2.6
12345

n = 187

Show the data
Data behind this chart: OKR impact, as rated by leaders and by employees
QuestionLeadersEmployeesGap
Transparency about goals and performance4.53.31.2
Executing strategy4.32.41.9
Communication between teams4.32.71.6
Team focus on priorities4.03.10.9
Alignment between teams4.02.31.7
Putting resources where they matter4.02.51.5
Company culture3.72.71.0
Innovation4.02.61.4

The gap is narrowest where employees can judge from their own team: team focus (0.9 points) and company culture (1.0). It is widest on outcomes that show at company level: executing strategy (1.9), one of the main reasons companies gave in 2022 for adopting OKRs, and alignment between teams (1.7). Across all eight questions, leaders average 4.1 out of 5 and employees 2.7.

  • Crawl · 0–6 mo

    Leaders and employees rate OKRs about the same, and both rate them low: nothing has been tested yet.

  • Walk · 6 mo – 3 yr

    Leaders’ ratings jump while employees’ barely move, and the system is only half in place. 21 of the 32 shut-down programs we studied ended at this stage.

  • Run · 3+ yr

    Settled programs. Employees close most of the distance to leaders, and OKR coaches, retrospectives and a clear link to strategy are most common here.

The leader-employee gap, by program age

How much higher leaders rate OKR impact than their own employees, in points out of 5, by how long the company has run OKRs. The gap is widest in the middle years, the Walk stage of a program.

Show the data
Data behind this chart: The leader-employee gap, by program age
Program ageLeader-employee gap (points)n
< 6 months0.621
6–12 months1.538
1–2 years1.944
2–3 years1.739
3–5 years1.128
5+ years0.717

02 · Strategy

The clearer the strategy, the higher companies rate their OKRs

This year we added five questions on how clearly a company’s strategy is written down and understood: the Strategy Clarity Index. Scores on it separate the companies more sharply than anything else we measured, including how often they check in, their industry, how leadership reviews progress and how long their cycles run. One thing could flatter the index, so we tested it. The index is the program owner’s own judgment, given on the same form as their own rating of OKR impact, so part of the link could be one person answering two questions the same way. Measured against the employees’ ratings alone, which the program owner’s answers do not feed, the link is weaker (r = 0.55 rather than 0.62) and still the strongest in the study.

OKRs need a strategy to point at

OKRs cannot create a clear strategy. They can only turn one into goals. When the strategy is unclear, OKRs become an elaborate way of writing down confusion.

OKRs ask teams to set ambitious goals that support the company’s priorities. If nobody has spelled out those priorities, teams either invent their own, which pulls them in different directions, or default to whatever is loudest in their inbox.

1.6/5
average OKR impact in the least clear strategy group, barely above the bottom of the scale.
4.3/5
average OKR impact in the clearest strategy group: 2.7 points higher, on something that is settled before anyone writes an OKR.
OKR impact, by strategy clarity score

Average OKR impact score out of 5, by the company’s score on the Strategy Clarity Index, which only leaders answer. Companies per group: 21, 39, 56, 39, 32. The correlation is strong (r = 0.62 across 187 companies; 0.55 against employees’ ratings alone).

0.01.02.03.04.05.0OKR impact →1.61n = 212.22n = 392.93n = 563.64n = 394.35n = 32Strategy Clarity Index →2.7 points above group 1

n = 187

Show the data
Data behind this chart: OKR impact, by strategy clarity score
Strategy Clarity IndexOKR impact (out of 5)
11.6
22.2
32.9
43.6
54.3

Score your own strategy clarity

Answer the five questions the way you would for your own company, on the same 1 to 5 agreement scale the survey used. Your score is plotted against the 187 companies below. In section 03, the impact your score points to appears next to the top 22% and the other groups.

  1. 1Our leadership can state the top three priorities in one sentence each.
  2. 2Our strategy is concrete and has a time frame, rather than being timeless and vague.
  3. 3There is a written strategy any employee can find without asking anyone.
  4. 4The strategy has been revisited and restated within the last 18 months.
  5. 5Our team leaders agree on what the strategy means in practice.

Answer all five questions to see your score.

03 · The top 22%

The top 22% of companies share six habits

We picked out the companies that rate OKR impact 3.5 out of 5 or higher in all four impact areas. 41 of the 187 companies, 22%, clear that bar. Then we looked at what they do differently from the other 146, across the 24 practices the survey asked about. Six habits stand out, from writing the strategy down before setting OKRs to reviewing progress in the live data rather than in slides. Most of the top group are older programs, so we checked the six within each program stage as well: each is more common in the top group among Walk-stage programs alone and among Run-stage programs alone.

+1.3 pts
higher OKR impact than the other 146 companies: 4.0 against 2.7 out of 5. The group is picked for its high scores, so this lead is built in; the habits are the finding.
0.6
points between leaders and employees in the top group, 0.8 points narrower than the 1.4-point average.
OKR impact, compared with the average of all 187 companies

Each group's average OKR impact score out of 5. Each bar runs from the 3.0 average to the group's score, so its length is the difference in points. Once you answer the strategy clarity questions above, the "You" row shows the impact your score points to on the clarity chart, not a score you reported.

Average of all companies 3.0 · n = 187
  • Strategy clarity 1–2
    2.0
  • Strategy clarity 4
    3.6
  • Top 22% of companies
    4.0
135
Show the data
Data behind this chart: OKR impact, compared with the average of all 187 companies
GroupOKR impact (out of 5)n
Strategy clarity 1–22.060
Strategy clarity 43.639
Top 22% of companies4.041
Top 22% · 41 companies

3.5 out of 5 or higher in all four impact areas

These are the companies that rate OKR impact 3.5 or higher, out of 5, in all four impact areas: transparency and communication, executing strategy, alignment and priorities, and culture and innovation. The four areas group the eight impact questions. 3.5 is a fixed bar, not a percentile or that year’s average, so the share of companies clearing it does not rise or fall with the year’s average. The bar is high on purpose: the average across all 187 companies is below 3.5 in every area.


What the top 22% do

  • 93%

    Anchor every OKR to a written strategy

    vs. 68% of the other companies

  • 88%

    Hold a retrospective after every cycle

    vs. 59% of the other companies

  • 93%

    Set five objectives or fewer per team

    vs. 62% of the other companies

  • 73%

    Check in at least every two weeks

    vs. 36% of the other companies

  • 71%

    Let teams propose their OKRs rather than handing them down

    vs. 33% of the other companies

  • 78%

    Review the live data, not slides

    vs. 28% of the other companies

What the top 22% rarely do

  • 20%

    Hand OKRs down from the CEO, level by level

    vs. 60% of the other companies.

  • 12%

    Run OKRs separately from business planning

    vs. 46% of the other companies. In the top group, the OKR cycle is the planning rhythm.

04 · Setting OKRs

Companies that let teams propose their OKRs score higher than those that hand them down

The most common way to set OKRs is a cascade: the CEO’s goals become the next level’s goals, and so on down to every team. It is tidy, and companies that use it score lower than companies that work top-down and bottom-up: leaders set the priorities and teams propose how they will contribute. 95 of the 187 companies cascade, 77 let teams propose, and 15 do neither in any organized way.

Why handed-down OKRs score lower

01 · Ownership

When a team’s goal is handed down as someone else’s Key Result, the team is working toward something it did not shape, and ownership suffers. This is an argument about how cascading works, not a measurement: the survey records which approach a company uses and how it scores, not how often individual OKRs get updated.

02 · Rigidity

A cascade assumes the strategy will not change mid-cycle. It does, and a rigid hierarchy cannot absorb that. Teams either drop their OKRs or keep chasing an outdated strategy. When teams propose their own OKRs, they can go back to leadership with a new proposal when things change.

03 · Blind spots between teams

Most important work needs several teams to coordinate. A cascade hands each team its goals from the level above, so no team has to look at what the teams beside it are doing, and each optimizes its own slice. When teams bring their drafts to leadership, the drafts can be looked at side by side before anything is agreed, so overlaps and dependencies between teams show up before the cycle starts.

Approach A · Top-down

The CEO’s goals become each level’s goals, all the way down

A strict hierarchy. Every team OKR rolls up into one OKR at the level above. Used by 51% of the companies surveyed.

↓ top-down · fixed · set by the level above ↓
2.4
average score on executing strategy, out of 5
2.9
average score on team focus, out of 5

Approach B · Top-down and bottom-up

Leaders set the priorities; teams propose how they will contribute

Direction comes from the top, the OKRs from the teams. Leadership sets the priorities, each team drafts the OKRs it will contribute, and the two agree them before the cycle starts. Used by 41% of companies and 71% of the top 22%.

↓ priorities from leadership · OKRs proposed by teams ↑
3.4
average score on executing strategy, out of 5
4.0
average score on team focus, out of 5

05 · Check-ins

Companies that check in every week or two rate OKRs highest

We asked how often most teams sit down to update progress on their OKRs, with five answers to choose from: weekly, every two weeks, monthly, quarterly, or no fixed rhythm. Impact is highest at a weekly or two-weekly rhythm and well below it at every slower one. The dashed line on the chart is the average across all 187 companies, not a baseline without OKRs: every company here runs OKRs, so the study cannot say how these teams would score without them.

  • Weekly · every two weeks

    Highest scores

    Often enough that the numbers stay current and a slipping Key Result gets noticed within days. Every two weeks (3.8 out of 5, 47 companies) and weekly (3.6, 36 companies) are level within the margin of error, and both are well above monthly.

  • Monthly · quarterly

    Too slow

    Monthly is the most common rhythm, at 64 companies, and scores 2.6; quarterly scores 2.4 (24 companies), level with monthly within the margin of error. Both are below the 3.0 average. At these rhythms, a Key Result that slips early in a cycle can stay off track for a month or more before anyone looks at it.

  • No fixed rhythm

    Lowest scores

    The 16 companies whose teams have no fixed rhythm score 1.8 out of 5, the lowest in this section and well below the 3.0 average, even allowing for the margin of error of a group this small.

OKR impact, by how often teams check in

Average OKR impact score out of 5, by how often teams check in on their OKRs. All 187 companies.

0.01.02.03.04.05.0OKR impact →3.6Weeklyn = 363.8Every 2 weeksn = 472.6Monthlyn = 642.4Quarterlyn = 241.8No fixed rhythmn = 16Highest, level with weekly

average, all 187 companies

n = 187

Show the data
Data behind this chart: OKR impact, by how often teams check in
How often teams check inOKR impact (out of 5)n
Weekly3.636
Every 2 weeks3.847
Monthly2.664
Quarterly2.424
No fixed rhythm1.816

06 · Live data or slides

Companies that review OKRs in slide decks rate them lower, even with the same software

We have had the software for three years. Every quarter I still spend most of a day copying our OKRs into a slide deck, because that is what the board wants to look at.
Strategy lead at a logistics companyFrom the open-response section of the 2026 survey.

Every company in this study tracks its OKRs in the same strategy execution software, so the question here is not whether a tool helps. It is whether leadership looks at the OKRs there, or has the progress rebuilt somewhere else. We asked how leadership reviews OKR progress each cycle. 73 of the 187 companies (39%) review straight from the live OKRs or from reports the software produces, 82 (44%) do that for some reviews and rebuild progress in slides by hand for others, and 32 (17%) rebuild it in slides for every review. Their OKR impact scores fall at each step, from 3.5 out of 5 to 2.9 to 2.3.

Older programs are more likely to review straight from the live data, so we split each group by program age, and the gap holds within both. Among programs two years and older, reviewing from the live OKRs rates 3.7 against 2.6 for slides at every review; among younger programs, 3.2 against 2.1. What the survey cannot separate is commitment: the companies that drop the slide deck may also be the ones that take OKRs most seriously. The company that publishes this report sells that software, which is a reason to read this section with care.

OKR impact, by how leadership reviews OKR progress

Average OKR impact score out of 5, by how leadership reviews OKR progress each cycle. The three groups make up all 187 companies.

  • Straight from the live OKRs(73)
    3.5
    1.2 points above the bottom group
  • Live data and rebuilt slides(82)
    2.9
  • Slides rebuilt for every review(32)
    2.3

n = 187

Show the data
Data behind this chart: OKR impact, by how leadership reviews OKR progress
Where the OKR work livesOKR impact (out of 5)n
Straight from the live OKRs3.573
Live data and rebuilt slides2.982
Slides rebuilt for every review2.332

Six in ten companies still rebuild OKR status in slides every cycle

114 of the 187 companies (61%), the two slide groups above, rebuild OKR status in slides for leadership at least once every cycle, even though the same numbers already sit in their strategy execution software. The person who runs the program spends a median of about 6 hours per cycle on it. The other 73 companies (39%) review only the live data.

The split lines up with the gap between leaders and employees. Where rebuilt slides come into at least one leadership review each cycle, leaders rate OKR impact 1.8 points higher than their own employees do. Where every review runs on the live data, the gap is 0.8 points. Weighted together, the two groups give the report’s overall gap of 1.4 points. One reading is that a slide shows leaders a tidied-up version of progress the employees doing the work do not recognize. The survey records the gap, not the reason for it.

61%
of companies, 114 of 187, rebuild OKR status in slides for leadership every cycle.
~6 hrs
median time the person running the program spends building that deck, per cycle.
Leader-employee gap, by how leadership reviews OKR status

How much higher leaders rate OKR impact than their own employees, in points on the 1 to 5 scale, split by how leadership reviews OKR status each cycle. The two groups are all 187 companies, and weighted together they give the overall gap of 1.4 points.

  • Rebuilt slides in at least one review(114)
    1.8
    Gap of 1.8 points
  • Only the live data(73)
    0.8

n = 187

Show the data
Data behind this chart: Leader-employee gap, by how leadership reviews OKR status
How leadership reviews OKR statusLeader-employee gap (points)n
Rebuilt slides in at least one review1.8114
Only the live data0.873

Only 1 in 3 companies lets every employee see every OKR

64 of the 187 companies (34%) make every OKR visible to every employee. 90 (48%) restrict some of them, and 33 (18%) let each team see only its own. Companies where everyone can see every OKR rate impact 3.4 out of 5; companies with team-only visibility rate it 2.4. Visibility is usually a setting rather than a project, which makes it the cheapest of the three changes in this section. Whether the setting drives the gap, or a more open culture drives both, the survey cannot separate.

OKR impact, by who can see which OKRs

Average OKR impact score out of 5, by how widely OKRs can be seen inside the company. The dashed line is the average across all 187 companies.

0.01.02.03.04.05.0OKR impact →3.4Everyone sees every OKRn = 642.9Partly restrictedn = 902.4Each team sees its ownn = 33Who can see the OKRs →Open to all: 3.4

average, all 187 companies

n = 187

Show the data
Data behind this chart: OKR impact, by who can see which OKRs
Who can see which OKRsOKR impact (out of 5)n
Everyone sees every OKR3.464
Partly restricted2.990
Each team sees its own2.433

07 · Program stages

Programs that last three years rate OKRs 1.4 points higher than new ones

A common way to describe OKR programs splits them into three stages: Crawl (one team, or company-level goals only), Walk (several teams lining up their goals) and Run (the whole company, with teams coordinating across departments). The 2026 data lets us put numbers against each stage. One caveat first: we assigned the stages by how long a company has run OKRs, not by how far OKRs have spread inside it, so what follows is the same age pattern this report shows elsewhere, cut a third way, not separate proof that the model is right.

  1. 01Crawl11% of companies

    Company-level OKRs only, or one or two pilot teams. The aim is building the check-in habit, not a company-wide rollout. Programs under 6 months old: 21 of the 187 companies.

    What the data shows

    Programs at this stage have the smallest gap between leaders and employees of the three stages (0.6 points) but also the lowest OKR impact (2.4 out of 5, within the margin of Walk’s 2.8 for 21 companies). They have not broken anything, but nothing has measurably improved yet.

    Average OKR impact
    2.4/5
    Leader-employee gap
    0.6 points
    Teams running OKRs (median)
    2
    Cycle length
    Quarterly
    Teams per OKR coach
    1–2

    What matters most

    Getting the check-in rhythm going. Having one team show measurable value before expanding, as the first step of a two-year rollout rather than a one-quarter trial.

  2. 02Walk65% of companies

    Several teams running OKRs, and starting to tie their goals to the company priorities. By far the largest stage, and the hardest. Programs 6 months to 3 years old: 121 of the 187 companies.

    ⚠ Where most stopped programs ended

    The widest gap between leaders and employees is here, and so are most of the programs that stopped: 21 of the 32 we studied ended between six months and three years in. The gap averages 1.7 points and peaks at 1.9 in the second year, because leaders’ ratings rise faster than employees’ while teams are still working out how their goals connect to the company priorities.

    Average OKR impact
    2.8/5
    Leader-employee gap
    1.7 points
    Teams running OKRs (median)
    9
    Cycle length
    Quarterly
    Teams per OKR coach
    3–5

    What matters most

    Building a network of OKR coaches. Making time for each team to draft its OKRs and agree them with leadership. Making it easy to see how each team’s OKRs connect to company priorities. This is where most of the programs that stop are dropped.

  3. 03Run24% of companies

    The whole company runs OKRs, and the OKR cycle is built into how the business plans. Retrospectives keep improving the system itself. Programs 3 years and older: 45 of the 187 companies.

    Where the top 22% are

    28 of the 41 top-scoring companies are at this stage. OKR impact is the highest of the three stages, and 7 of the 32 shut-down programs we studied had run three years or more when they stopped. The gap between leaders and employees narrows again to 0.9 points; only Crawl, where nothing has been tested yet, is narrower.

    Average OKR impact
    3.8/5
    Leader-employee gap
    0.9 points
    Teams running OKRs (median)
    28
    Cycle length
    Quarterly (40 of 45)
    Teams per OKR coach
    5–7

    What matters most

    Keep improving the system. Hold a retrospective after every cycle. Fit OKRs to the company’s real rhythm rather than the textbook version. Give senior stakeholders reporting they can use.

OKR impact rises from 2.4 to 2.8 to 3.8 out of 5 across the stages, 1.4 points end to end, but only among programs that survive the Walk stage.

What changes between the stages

Moving up a stage is not about doing more of the same. The system itself has to change. What works in Crawl breaks in Walk, and what worked in Walk gets in the way in Run.

Crawl → Walk

Add a network of OKR coaches. Have each team draft its OKRs against the company priorities and agree them with its leader. Expand team by team, adding a team once it has a coach and a check-in rhythm, rather than switching every team on at once.

Walk → Run

Make retrospectives a fixed habit. Make reporting easy to read for people who do not run OKRs day to day, such as the board and senior executives. Adapt the vocabulary and rhythm to how the company actually works.

Staying at Run

Keep improving the system. Relaunch OKRs after a change at the top. Do not let the system harden into the version that worked three years ago.

08 · Why programs stop

More than half of shut-down OKR programs ended over a leadership change or an unclear strategy

Most OKR research only looks at programs that are still running. Following the companies from our 2022 survey lets us look at the ones that stopped. 8 of the 37 companies we could account for, 22%, had dropped OKRs entirely by 2026, and another 5 had paused or scaled back. Adding 24 earlier programs that this year’s companies told us they had shut down gives 32 shut-down programs. Their reasons fall into five repeating patterns. None of the five is about how OKRs are written or scored; each is a decision made, or skipped, around them: who sponsors the program, whether there is a strategy for it to point at, where the work actually lives, and whether anyone looks back at a finished cycle.

We measured stopping two ways. Four years after 2022, 24 of the 37 programs we could account for were still the company’s main goal system, 16 of them unchanged; the four-year section counts 26 of its 31 as still running because it includes programs that scaled back. And of all 32 shut-down programs, 21 had run between six months and three years when they stopped, the Walk stage, when the system is only half in place.

Why the programs stopped

32 cases: the 8 programs from the 2022 group that stopped, plus 24 companies in this year’s sample that told us about an earlier OKR program they had shut down before the current one. We gave each case one main reason. The counts behind the shares are 13, 7, 6, 3 and 3, and a leadership change leads in both groups: 6 of the 8, and 7 of the 24. Two researchers coded the reasons independently and agreed on 28 of the 32; they settled the other 4 together.

  1. 01

    A new leader, and nobody relaunched OKRs41%

    The executive who sponsored OKRs left, and the successor did not relaunch them. OKRs lost their owner and slowly faded out.

  2. 02

    The strategy was never made clear22%

    The company hoped OKRs would fix an unclear strategy, and they did not. After two cycles of writing down confusion, the team gave up.

  3. 03

    OKRs turned into a slide-deck exercise19%

    Progress was rebuilt in slides for every leadership review, so the OKRs only got looked at when a deck was due. The program became a reporting chore and was dropped.

  4. 04

    The software was more trouble than it was worth9%

    OKRs were set up in a tool that did not fit the company: too rigid, too complicated, or too far from where the work happens.

  5. 05

    Nobody looked back at a finished cycle9%

    Cycles came and went without anyone asking what had worked. The system never adapted, and people stopped believing in it.

How long the 32 shut-down programs ran before they stopped

Number of programs by how long they had run when they stopped: the 8 from the 2022 group and 24 earlier programs this year’s companies told us about. These are lifespans as the companies reported them. We do not know how many programs of each age kept running, so the chart shows when stopping happened, not how likely it was at each age.

03691215Programs that stopped →4<6 mo76–12 mo91–2 yr52–3 yr53–5 yr25+ yrAge when the program stopped →

n = 32

Show the data
Data behind this chart: How long the 32 shut-down programs ran before they stopped
Age when the program stoppedPrograms
<6 mo4
6–12 mo7
1–2 yr9
2–3 yr5
3–5 yr5
5+ yr2

09 · Industries

Software companies rate OKRs highest; construction and real estate rate them lowest

OKR impact varies widely by industry. Software and professional services lead, which fits the method’s roots in the tech industry. The industries at the bottom are harder to explain, and so is a group we looked at separately: mid-sized German companies, which run OKRs on a different rhythm from the rest of the sample.

Industries with short feedback loops and a lot of independent knowledge work, such as software and professional services, report higher impact. Industries that plan years ahead and commit to physical assets, such as construction, manufacturing and logistics, report lower impact. That does not mean OKRs are useless there; the method’s assumptions about short cycles and adjustable targets fit them less well. The top 22% include companies from every industry on this chart, so industry matters but does not decide the outcome.

OKR impact, by industry

Average OKR impact score out of 5 for all 14 industries in the sample. Together the 14 groups make up all 187 companies.

  • Software / SaaS(33)
    3.8
    Shortest feedback loops, highest scores
  • Professional services(15)
    3.6
  • Financial services(14)
    3.3
  • E-commerce / Retail(12)
    3.2
  • Insurance(8)
    3.1
  • Media / Publishing(9)
    3.0
  • Telecommunications(7)
    3.0
  • Healthcare / Pharma(13)
    2.8
  • Industrial / Manufacturing(26)
    2.7
  • Consumer goods(12)
    2.6
  • Energy / Utilities(10)
    2.5
  • Logistics / Transport(11)
    2.4
  • Public sector / NGO(9)
    2.2
  • Construction / Real estate(8)
    2.0

n = 187

Show the data
Data behind this chart: OKR impact, by industry
IndustryOKR impact (out of 5)n
Software / SaaS3.833
Professional services3.615
Financial services3.314
E-commerce / Retail3.212
Insurance3.18
Media / Publishing3.09
Telecommunications3.07
Healthcare / Pharma2.813
Industrial / Manufacturing2.726
Consumer goods2.612
Energy / Utilities2.510
Logistics / Transport2.411
Public sector / NGO2.29
Construction / Real estate2.08

🇩🇪 Closer look · German Mittelstand

German mid-sized companies run longer OKR cycles and score above their industries’ average

We looked separately at 34 mid-sized German companies with 200 to 2,000 employees, the family- or owner-led firms known in Germany as the Mittelstand: 13 industrial, 6 consumer goods, 5 logistics, 4 construction, 3 energy and 3 professional services. Their OKR profile looks unlike the rest of the sample.

Median program age
1.3 years
Most common cycle length
Six months
OKR impact, out of 5
3.1 vs. 2.6 average for their industries
Leader-employee gap
0.9 points

These companies run longer cycles than the rest of the sample, most of them six months, and their programs are younger: the median is 1.3 years old. Their OKR impact of 3.1 out of 5 is mid-table on its own, but the industries they belong to average 2.6 across the full sample, so they score half a point higher than their industries would suggest, and their leader-employee gap of 0.9 points is 0.5 points narrower than the 1.4-point average. One caution, because this is the part readers in the region will quote: the 2.6 is the full-sample average of their industries, and about 40% of the companies in those industries (34 of 82) are these same companies, so the half-point lead is a conservative estimate rather than a clean one.

Software

What the highest-rated OKR programs need from their strategy execution software

Across the 187 companies, certain habits keep turning up alongside high OKR impact. In our experience, each of them is hard to keep up across a whole company without software that supports it. Software does not create the habits, but the wrong setup can make them too much work to sustain. Every company in this study uses the same OKR software, so nothing here compares one product with another, and nothing here shows that software produces impact. What the data does show is narrower: companies that review progress inside the software they already own score higher than companies that rebuild it in slide decks. The eleven requirements below are about not making the right habits harder, and that is as far as this data goes. The company that publishes this report sells that software, which is a reason to read this section with care.

  1. Capability · 01

    Quick, easy check-ins

    Finding: impact is highest at check-ins every week or two and well below it at every slower rhythm, down to 1.8 where teams have no fixed rhythm.

    A check-in that takes an employee more than two minutes will not happen reliably. The software needs quick updates in context, a confidence rating you can see without opening five screens, and reminders that do not depend on a manager remembering to chase. The two-minute figure is a rule of thumb from practitioners, not something this study measured; what it did measure is that impact falls once check-ins are more than two weeks apart.

  2. Capability · 02

    Alignment employees can see, not just leaders

    Finding: the gap between leaders and employees is 0.6 points in the top 22% and 1.4 across all companies.

    Alignment cannot live in a quarterly slide deck. Employees need to find their team’s OKRs, and the company priority each one supports, in a couple of clicks, in the place where they already work. Exports are useful for the board reporting in requirement 09, just not as the place alignment lives.

  3. Capability · 03

    Teams draft OKRs and agree them with leadership

    Finding: companies where teams propose their own OKRs score 1.0 point higher on executing strategy than companies that hand them down, 3.4 against 2.4.

    The software has to let a team draft its OKRs against the company priorities and agree them with leadership in the same place, instead of only letting the level above create OKRs and assign them downward. Software where OKRs can only be handed down makes that approach, the lower-scoring of the two in this study, the easy default.

  4. Capability · 04

    A place for the strategy above the OKRs

    Finding: strategy clarity tracks OKR impact more closely than anything else we measured (r = 0.62, and 0.55 against employees’ ratings alone).

    With OKRs alone, the strategy ends up in a separate document that falls out of date within weeks. The software needs a layer above the OKRs for the company’s priorities, mission and themes, with OKRs linked to it rather than filed next to it. Nothing here measures whether software makes a strategy clearer, and this report argues it cannot: keeping OKRs attached to a strategy is a smaller and more defensible claim than creating one.

  5. Capability · 05

    History you can look up for retrospectives

    Finding: 88% of the top 22% hold a retrospective after every cycle, against 59% of the other companies.

    A retrospective is only as good as the data behind it. The software needs comparisons across cycles: completion over time, recurring themes, how confidence drifted. A snapshot of last quarter’s OKRs is not enough; a retrospective only teaches something when earlier cycles can still be looked up.

  6. Capability · 06

    Focused views for OKR coaches

    Finding: 84% of companies have a named OKR coach, and in Run-stage programs, where 28 of the 41 top-scoring companies sit, each coach looks after 5 to 7 teams.

    As programs spread across the company, OKR coaches need views of their own teams without wading through everyone else’s. That is about focus, not secrecy: every employee can still see every OKR while each coach works from a view filtered to their own teams. The requirement is per-team views on top of open visibility.

  7. Capability · 07

    Open visibility by default

    Finding: only 64 of the 187 companies (34%) let every employee see every OKR, and they rate impact 3.4 out of 5, against 2.4 where each team sees only its own.

    Visibility should be the default and restriction the exception, set per OKR rather than per team. When every OKR starts as private, the closed setup becomes the path of least resistance. Whether the setting drives the gap, or a more open culture drives both, is not something this survey can separate.

  8. Capability · 08

    Adjustable cycle lengths and vocabulary

    Finding: the most common cycle among German mid-sized companies is six months, against quarterly in the rest of the sample, and cycle length explains only 3% of the differences in impact between companies.

    No single cycle length suits every company. A hard-coded quarterly cycle makes the company bend to the software instead of the other way around. The software needs adjustable cycle lengths, custom fields and flexible vocabulary: some companies call them Bets, some Outcomes, some keep OKRs, and the tool has to carry whichever name the company uses.

  9. Capability · 09

    Reporting that grows with the program

    Finding: the 45 Run-stage programs have the highest OKR impact of the three stages, 3.8 out of 5, and 114 of the 187 companies still rebuild OKR status in slides every cycle, at a median of about 6 hours of the program owner’s time.

    In Crawl, simply seeing the OKRs is enough. In Walk, teams need summaries across teams. In Run, the software has to produce reports senior people can read, such as dashboards, PDF exports and board-ready summaries, without the OKR team rebuilding them by hand each cycle.

  10. Capability · 10

    Connections to the tools where work happens

    Finding: companies that check in every week or two score 3.6 to 3.8 out of 5, against 2.6 at monthly, 2.4 at quarterly and 1.8 with no fixed rhythm. Nothing in this study measures integrations directly.

    This is an argument about how check-ins work, not a measurement, and should be read as one. A check-in that means opening another system, finding a number and typing it in again costs more than one that does not, and that cost decides how often check-ins happen. Key Results that update from their source system stay current without anyone having to update them. The requirement follows from the check-in chart plus that reasoning, not from anything we measured about integrations, because we did not ask about them.

  11. Capability · 11

    Built to survive a change at the top

    Finding: 13 of the 32 shut-down programs ended after a leadership change with no relaunch. Among the 2022 companies, of the 8 whose new leader did not relaunch OKRs, 6 stopped, against none of the 7 whose leader did, though a leader who relaunches is also one who wants OKRs.

    A new leader should be able to pick the program up: the strategy, the OKR history, retrospective notes and who coaches which teams, all visible and handed over rather than locked in the previous sponsor’s head. A program that lives in one champion’s head does not survive that champion leaving. Documentation, history and clear ownership are part of the system, not soft skills.

Methodology

How we ran the 2026 study

How much the findings are worth depends on how they were gathered. This section covers how we collected the data, who took part, what the sample can and cannot speak for, and what changed since 2022.

Who took part, and who qualified

Every one of the 187 companies in the 2026 sample is a Mooncamp customer. We invited customers running OKRs to take part, and 187 customer organizations qualified: each had a live OKR program that had finished at least one full cycle, and enough respondents among both leaders and employees to compare the two. There was no outside panel, so the sample describes companies that already run OKRs in dedicated software, the same software in every case. We asked for one finished cycle rather than the year of OKR use the 2022 survey required, so that programs in their first year are included rather than screened out. That change makes this year’s sample younger by construction: the 59 companies in their first year would not have qualified in 2022. It is why the main four-year comparison is also broken out by program age. Only the 2026 side can be broken out that way, because we cannot re-age the 2022 group, so the age chart shows the pattern inside this sample rather than a matched comparison between the two years. Every one of the 187 companies was running OKRs when it answered, and that limits every number that follows: nothing here measures what happens to companies that never adopted OKRs, and the impact scores are what OKR-running companies report about their own programs.

Two questionnaires: one for leaders, one for employees

The main change from 2022, when one person answered for each company, is that we surveyed two groups at every company. Leaders (C-suite, VPs, department heads and OKR coaches) completed the long questionnaire on how the program is set up, how it runs and what it achieves: 213 of them. At 167 of the 187 companies that is one person, the one who owns the program; only the largest companies returned two or three. Employees (engineers, marketers, analysts, operations and sales staff: anyone working with OKRs without setting them for the company) completed a shorter, parallel questionnaire with the same eight impact questions: 864 of them, 3 to 5 per leader and a median of 4 per company. Employees were invited by a message to a random sample of the people at each company who work with OKRs, so the program owner did not pick who answered; 864 of the 1,212 invited (71%) completed it. To qualify, a company needed at least 1 leader and 3 employees; companies returned between 4 and 16 responses each, median 5, with larger companies returning more. Leader and employee answers are compared within each company first, so the comparison rests on 187 companies, not 1,077 responses. The OKR impact score used throughout this report is the average of the eight impact questions, out of 5, across all of a company’s respondents, so at a typical company with one leader and four employees the employees carry four fifths of the score. Averaged over the 187 companies it is 3.0. The yes-or-no questions (whether OKRs met expectations, had a positive impact and would be recommended) were on the leaders’ questionnaire only, so each company’s answer is its program owner’s. Alongside the impact questions, the leadership questionnaire asked how OKRs are set (handed down from the level above, drafted by teams against leadership’s priorities and agreed with leadership, or neither in any organized way), how often most teams check in on their OKRs (weekly, every two weeks, monthly, quarterly, or with no fixed rhythm), how leadership reviews OKR progress each cycle (straight from the live OKRs or from reports the software produces, from slides rebuilt by hand, or some of each) and how long preparing it takes, and who in the company can see which OKRs.

The 2022 companies, four years on

Of the 40 companies in the 2022 survey, 31 agreed to take part again in 2026 and answered the full questionnaire, separately from the 187-company sample, because not all of them are Mooncamp customers. The other 9 declined, no longer exist as independent companies, or could not be reached. 6 of those 9 answered a three-question follow-up by email or phone: whether they still run OKRs, in what form, and if they stopped, when and why. The four-year claims in this report draw on the 31 plus those 6, so 37 of the original 40. Three things make the two years harder to compare. In 2022 one person answered for each company (30% senior managers, 33% middle managers, 38% other roles), while the 2026 scores blend leaders and employees, who rate OKRs 1.4 points lower. The 2022 impact questions overlap with this year’s but are not identical, so the 3.5 bar for the high-impact group is applied to two similar, not identical, scores. And the 2022 report stated differences between groups as percentages; this edition states them in points, because a percentage between two scores on a 1 to 5 scale depends on where the scale starts, and because this year’s sample is younger, the high-impact group’s lead over the rest cannot be compared cleanly across the two surveys either. The 2022 report also published scores for six of this year’s eight impact questions. On every one, the 2022 score falls between this year’s leader and employee averages, which is where one respondent per company, most of them managers, would be expected to land, so we do not compare them row by row. Finally, the 2022 sample was not limited to Mooncamp customers, and this year’s is.

The Strategy Clarity Index

Five new questions, asked only of leaders, because employees are rarely in a position to judge how clear the strategy is. Each is scored 1 to 5, the index is the average, and the average across all companies is 3.1. At 167 of the 187 companies the index is one person’s five answers, so a company’s clarity score reflects the view of whoever runs the program rather than a consensus. Answers held steady when the same people answered again 14 days later (test-retest r = 0.74, 42 leaders). The index correlates with OKR impact at r = 0.62 (95% confidence interval 0.52 to 0.70, 187 companies), so it accounts for 38% of the variation in impact between companies. Everything else we measured accounts for less: check-in frequency 24%, industry 15%, program age 12%, whether OKRs are set top-down or top-down and bottom-up 11%, whether leadership reviews the live data or slides 10%, who can see the OKRs 7%, cycle length 3%. Part of the index’s link could reflect how one person answers a survey rather than a real-world effect (what researchers call common-method variance), because the index and the leader’s own impact rating come from the same person. Against the employees’ impact ratings alone, which the leader does not feed, the correlation is 0.55 (0.44 to 0.64): still 30% of the variation, more than any other single measure accounts for in the full score. A second, independent measure of clarity would settle the rest, and the next survey will add one.

Limitations

Five limitations bound what these figures can support. (1) OKR users only: every company in the sample was running OKRs, so no figure here compares OKR users with non-users, and no impact score should be read as the effect of adopting OKRs. (2) Self-selection: companies that take part in OKR research probably take OKRs more seriously than average, which makes the sample look more mature than the wider population. Every company in the 2026 sample is also a customer of the same OKR software vendor, so nothing here compares tools, and customers who answer a vendor’s survey may be among its more engaged ones. (3) Survivor bias: this year’s sample can only contain programs that are still running, so stopping is measured through the 37 companies from 2022 whose status we could confirm, plus what this year’s respondents told us about earlier programs they had shut down. The 22% figure for stopped programs is a floor, not a rate for all companies. The same applies wherever program age is on an axis: the leader-employee gap by age and the expectations-by-age chart have rightmost points made up only of programs that lasted long enough to be there, which flatters them. (4) Geography: 121 of the 187 companies are in Germany, Austria or Switzerland, so the sample describes European, largely German-speaking, OKR practice. (5) Causality: every relationship reported here is a correlation. We are not claiming that letting teams propose their OKRs causes higher impact; we are claiming the two go together, and we offer reasons where we can.

How precise the numbers are

With 187 companies, a share near 50% is accurate to about 7 points either way (95% confidence), and an average score to about 0.2 points for the whole sample and 0.5 points for a group of 30 companies, more for smaller groups. The differences this report calls out within the 2026 sample are larger than those margins unless the text says otherwise; the industry chart, with 7 to 33 companies per row, is the exception, so read its top and bottom rather than its neighbors. The 2022 baseline is 40 companies, so its shares are accurate to about 10 to 15 points either way, and no single difference between the two years in the four-year section is large enough to stand on its own: read them as directions, and the panel of 26 companies scored in both years as the closest thing to a measured change. No score is shown for a group of fewer than five companies.

Sample at a glance

Sample at a glance
Customer organizations qualified187
Total responses1,077
Leaders213
Employees864
Responses per company4–16, median 5
Companies with one leader responding167 of 187
Industries represented14
Countries represented9
Germany, Austria and Switzerland121 of 187
Company size range50–18,000 employees
Median company size640 employees
2022 companies accounted for37 of 40
Survey ranJul–Sep 2026
Median time to complete18 min leaders, 6 min employees

Where the 187 companies are

Where the 187 companies are
Germany82
Switzerland21
Austria18
Netherlands14
United States13
United Kingdom12
Spain10
Sweden9
France8

The companies are a Cologne-based vendor’s own customers, so the sample leans toward Germany, Austria and Switzerland by design. Read every figure as European OKR practice, not global practice.

Who ran the study

Mooncamp designed and ran the 2026 survey, and every company in the 2026 sample is a Mooncamp customer. External advisors familiar with the 2022 questionnaire reviewed the survey design. Mooncamp sells OKR software, which is a reason to read the software section and the section on live data or slides with more suspicion than the rest, and a reason we left product names out of the software section. Respondents agreed that their anonymized answers could be published: no company or person is named, and quoted answers are shortened and used with permission.

Cite this report

Mooncamp (2026). The OKR & Strategy Execution Report 2026: A Survey of 187 OKR Programs, with a Four-Year Follow-Up of the 2022 Companies. Cologne, Germany.

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