Segment managers into performance buckets
How Manager Statistics groups your managers into buckets like hi-pot, poor team engagement, women in leadership and millennial managers - what each bucket means, the exact criteria behind it, and how to use them for leadership development.
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Manager Statistics does more than show you an overall leadership scorecard. It quietly sorts every manager in your organization into a set of performance buckets - groups like hi-pot managers, managers with poor team engagement, women in leadership, and millennial managers. Each bucket answers a different leadership question, and each one is built from real data: engagement scores, eNPS, tenure, gender, and generation.
This guide explains what the buckets are, exactly how a manager lands in each one, and how to use them to coach, recognize, and develop your leaders. For the overall page, the leadership scorecard, and how manager engagement scores are built in the first place, start with Understand Manager Statistics. This article zooms in on the buckets themselves.
Manager Statistics splits managers into buckets. The two that matter most are score-based: hi-pot managers (team engagement score at or above your threshold, default 6 on a 0-10 scale) and managers with poor team engagement (below the threshold). Other buckets group managers by tenure, gender, and generation. Each bucket surfaces top drivers, standout questions, and team feedback so you know exactly where to coach.
What a performance bucket is
A bucket is a saved segment of managers that share something meaningful. Instead of scrolling one long list and trying to spot patterns yourself, Manager Statistics pre-computes the groups leadership teams ask about most: Who are my strongest people managers? Which teams are struggling? Are women well represented in leadership? How are my millennial managers performing?
Each bucket appears as a card on the Manager Statistics page. The card shows a short insight line (for example, "62% of managers have highly engaged employees"), a benchmark note, and an icon: a crown when the bucket is healthy, or an exclamation mark when it's a signal to pay attention. Open a card and you get the full picture: the managers, their scores, their strongest or weakest engagement drivers, standout survey questions, and representative feedback from their teams.
Buckets are not a ranking of individuals against each other. They're a way to view your leadership population through several lenses so development effort lands where it does the most good.
The two score-based buckets
The most important buckets are driven by a single number: each manager's team engagement score, the average of the survey answers given by the people who report to that manager, on a 0-10 scale. (For how that number is calculated, see Understand Manager Statistics.)
CultureMonkey compares each manager's score against your engagement score threshold and splits managers into two groups:
| Bucket | In-product title | Criteria | What it tells you |
|---|---|---|---|
| Hi-pot managers | Hi-pot Managers | Team engagement score at or above the threshold | Your high-potential people managers - the leaders whose teams are most engaged |
| Poor team engagement | Managers with poor team engagement | Team engagement score below the threshold | Managers whose teams are under-engaged and who likely need coaching or support |
The threshold defaults to 6 on the 0-10 scale, so a manager whose team averages 6.0 or higher lands in the hi-pot bucket and one at 5.9 falls into the poor-engagement bucket. Everyone with a valid score belongs to one bucket or the other - there's no middle "passive" band the way there is with eNPS.
The label comes from high potential. A hi-pot manager is one whose team consistently reports strong engagement, which makes them a natural source of best practice for the rest of your leadership group. Treat this bucket as your internal coaching bench, not just a trophy shelf.
Where the threshold lives
The cut-off is an account setting, the engagement score threshold, and its default is 6. If your organization tends to score higher or lower across the board, this value can be tuned so the hi-pot and poor-engagement buckets stay meaningful rather than lumping almost everyone into one side.
Because the buckets are defined relative to this threshold, moving it reshapes both groups at once: raising it makes the hi-pot bucket more exclusive, lowering it makes the poor-engagement bucket smaller. Pick a value that reflects a genuinely strong team, then leave it stable so you can compare cycle over cycle.
Reading a score-based bucket
Open the hi-pot bucket and you'll see the group broken down in a few ways that turn "these managers are doing well" into "here's what they're doing well."
- 1The manager list - every manager in the bucket, with their team, location, reporting manager, and rounded team engagement score. Sorted so the strongest sit at the top.
- 2Top drivers - the engagement drivers these managers score highest on. This is the group's collective strength (for example, Recognition or Autonomy) and a good template for what "good" looks like.
- 316 questions that matter - the manager-related survey questions this group scored most strongly on, so you can see the specific behaviors behind the numbers.
- 4Winning aspects - real, positive feedback pulled from these managers' teams, giving you the qualitative story alongside the scores.
The poor team engagement bucket is the mirror image, surfacing the drivers these managers score lowest on, the questions they struggle with most, and the most critical feedback from their teams. That tells you not just who needs support but what kind, so you can target coaching at the real weak spot rather than guessing.
A manager can land in the poor-engagement bucket because of one hard quarter, a team reorg, or a single low-scoring driver. Read the feedback and drivers before drawing conclusions. The bucket tells you where to look; the details tell you what's really going on.
The demographic and tenure buckets
Beyond the two score buckets, Manager Statistics offers groups defined by who a manager is rather than how their team scores. These help you check the health and diversity of your leadership pipeline.
| Bucket | In-product title | How a manager qualifies |
|---|---|---|
| Women in leadership | Women in Leadership | Manager's gender is recorded as female |
| Millennial managers | Millennial Managers | Born between 1981 and 1996 |
| Completed half a decade | Completed half a decade | Exactly 5 years since date of joining |
| Converted long-tenured employees | Converted long tenured employees | Employees with 5+ years of tenure who have since become managers |
| Attrition of managers | Attrition of Managers | Managers who left within the past year |
| Managers with high attrition | Managers with high attrition | Managers whose teams have lost people to attrition |
These buckets carry their own insight lines and benchmarks. The women in leadership bucket reports what share of your managers are women and breaks down how women managers score on drivers like Leadership, Work Life Balance, and Recognition compared with the organization overall. The millennial managers bucket compares this generation's team engagement against the company score. The tenure buckets (completed half a decade, converted long-tenured) are recognition prompts, helping you spot loyal contributors worth celebrating or promoting from within.
A single manager can appear in several buckets at once - a woman who is also a millennial and also hi-pot will show up in all three. Buckets are lenses, not mutually exclusive folders, so don't expect the counts to add up to your total manager headcount.
The healthy-vs-attention signal
Each bucket card shows a crown or an exclamation icon based on a simple benchmark for that group. The rule differs by bucket because "good" means something different for each one:
| Bucket | Healthy (crown) when |
|---|---|
| Hi-pot managers | At least 50% of managers have highly engaged teams |
| Poor team engagement | Fewer than 30% of managers fall into the low-engagement group |
| Women in leadership | At least 25% of managers are women |
| Millennial managers | At least 30% of managers are millennials |
| Managers with high attrition | Fewer than 50% of managers have high team attrition |
Think of these as at-a-glance thermometers. A crown says the group is in good shape relative to a common benchmark; an exclamation invites you to open the card and dig in. They're deliberately coarse, so use them to decide where to spend attention, not as targets to chase.
The leaderboard: driver rockstars
Sitting alongside the buckets is a leaderboard view that answers a sharper question: for each engagement driver, which single manager's team rates them highest? CultureMonkey looks across your hi-pot managers, finds the top scorer for each driver, and presents them as that driver's "rockstar," complete with a badge.
This is one of the most practical outputs of the feature. If you want to run an internal session on Recognition, the leaderboard tells you exactly which manager to ask. It turns your best people managers into a teaching resource for everyone else.
How to use buckets for leadership development
Buckets are most valuable when they feed a repeatable coaching loop. A practical rhythm:
- 1Start with the two score buckets. Note who is hi-pot and who has poor team engagement. These are your recognition list and your coaching list.
- 2Learn from the top. Open the hi-pot bucket and the leaderboard. Capture the drivers and behaviors that define your strongest managers, and turn them into shareable practices.
- 3Target the bottom. For the poor-engagement bucket, read the lowest drivers and the critical feedback. Build a focused action plan per manager around the specific weak driver, not a generic "improve engagement" goal.
- 4Check the pipeline. Use the women-in-leadership, millennial, and tenure buckets to sanity-check diversity and succession. If representation is thin, that's a hiring and promotion conversation.
- 5Re-check next cycle. After your next survey, revisit the buckets. Managers moving from poor-engagement into hi-pot is the clearest proof your coaching worked.
Team engagement score tells you the "how much"; eNPS tells you the advocacy story behind it. Reading both together for a struggling manager gives a fuller picture than either alone. See What is eNPS and how is it calculated?.
Limitations and things to watch
Buckets are powerful, but they're a summary, so keep their edges in mind:
- They depend on survey data. A manager with too few responding team members may not have a reliable score, and small teams can be hidden by anonymity thresholds. A manager missing from a bucket usually means "not enough data," not "no result."
- The threshold is a hard line. A manager at 5.9 and one at 6.1 sit in different buckets despite being almost identical. Read the actual score, not just the bucket.
- Demographic buckets rely on complete profile data. The women-in-leadership and generation buckets are only as accurate as the gender and date-of-birth fields in your records. Gaps mean undercounts.
- Buckets describe, they don't diagnose. The "why" always lives in the feedback and the follow-up conversation.
Frequently asked questions
What does "hi-pot" actually mean?
Hi-pot is short for high potential. In Manager Statistics it means a manager whose team engagement score is at or above your engagement threshold (default 6 on the 0-10 scale). These are the managers whose teams report the strongest engagement.
What's the difference between the buckets and the overall Manager Statistics page?
The overall page is the leadership scorecard - the headline numbers and navigation for all your managers. Buckets are the segments within it. This article covers the buckets; Understand Manager Statistics covers the page as a whole and how the underlying scores are built.
Can a manager be in more than one bucket?
Yes. The demographic and tenure buckets overlap freely with the score-based ones. A hi-pot manager who is also a millennial woman appears in all three relevant buckets, so bucket counts won't sum to your total headcount.
Why is a manager missing from every bucket?
Almost always because there isn't enough survey data for a reliable score, or their team is small enough to fall under the anonymity threshold. Encourage participation and re-check after the next survey. See Why can't I see results yet?.
Who can see Manager Statistics and the buckets?
The page is available to Account Admins on accounts where Manager Statistics is enabled. If you can't reach it, the feature may not be turned on for your account.
Where to go next
- See the full leadership scorecard: Understand Manager Statistics
- Understand the drivers behind each bucket: Drivers and factors explained
- Turn a low bucket into change: Create an action plan
- Read the advocacy side of the story: What is eNPS and how is it calculated?
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