I keep seeing the same pattern at the top of scaling companies. The workforce dashboards are polished. The quarterly people review has its own slide deck. Someone on the leadership team can pull attrition risk, engagement scores and skills gap heat maps inside thirty seconds. And still, when the CEO has to decide who leads the next region, whether to slow hiring in a struggling division, or which two leaders are genuine flight risks this quarter, none of that data gets opened. Mercer's 2026 Global Talent Trends study (as reported by HR Executive), which surveyed roughly 12,000 executives, HR leaders, investors and employees, has a name for this pattern. It calls it insight theater: the ritual of collecting workforce data, presenting it well, and never connecting it to a decision anyone was actually going to make. That is the uncomfortable finding underneath the headline statistics. Your people data is insight theatre until it changes a decision, and for most organisations, it never does.
I have sat in enough of these reviews to know the theatre metaphor is exact, not clever. A theatre production has a script, a stage, lighting and an audience that leaves impressed. What it does not have is consequence. Nobody in the seats walks out and reorganises their week because of what happened on stage. That is precisely what most people analytics functions have become: well produced, well lit, and disconnected from the actual machinery of leadership decisions. The dashboard gets built. The metric gets tracked. The quarterly deck gets presented to the board. And the succession call, the restructuring call, the who gets the stretch role call still gets made on gut feel and whoever spoke last in the room. Mercer's research is the first study I have seen at this scale that puts a number on how common that gap actually is.
Why Your People Data Is Insight Theatre
The scale of Mercer's study is worth sitting with before the numbers themselves. Roughly 12,000 executives, HR leaders, investors and employees were surveyed for the 2026 Global Talent Trends report, reaching well beyond HR practitioners surveying each other: it includes the people who actually sit in the room when capital allocation, restructuring and leadership succession decisions get made. When that group says their organisational data only tells them what is urgent, not what is important, that reflects a decision infrastructure built backwards, optimised for reporting rather than for judgement.
2 in 3: executives get urgency, not importance: say their organisational data tells them only what is most urgent, not what is most important, according to Mercer's 2026 Global Talent Trends study.
55%: already know they underuse their data: say their organisation already underutilises the workforce intelligence it currently has, before a single new data point is collected.
27%: trust HR to advise on human capital risk: of executives believe their HR team effectively advises them on human capital risks and opportunities, per the same Mercer study.
Read those three figures together and a single shape appears. Two in three executives are drowning in urgency signals and starved of importance signals: the system tells them a resignation happened, not which resignation will actually hurt. More than half already know they are sitting on intelligence they are not using, which rules out the easy excuse that the fix is simply collecting more. And barely a quarter trust the function that owns most of this information to translate it into advice they can act on. That last figure is the one that should worry a CEO most. It is not a data quality problem: it is a trust and translation problem, and it sits exactly at the seam between the people who hold the information and the people who have to decide with it.
The Real Gap Is the Pipeline, Not the Platform
Most leadership teams I work with do not have a people data problem. They have a people-data-to-decision pipeline problem, and those are entirely different repairs. A data problem gets fixed by buying a better platform, adding a field, running a cleaner survey. A pipeline problem gets fixed by redesigning who owns which decision, what evidence has to be present before that decision is made, and what happens when the evidence and the decision maker's instinct disagree. I have written before about why judgement has to become infrastructure rather than an individual talent some leaders happen to have and others do not, and this is exactly the failure mode that argument predicts. Without a structure that forces data into a decision, the data sits beside the decision, in a separate deck, produced by a separate function, on a separate cadence. Proximity is not the same as connection.
Insight theatre survives because it is comfortable for everyone involved. HR gets to show the board a mature analytics capability. The CEO gets to nod at a well built dashboard without doing the harder work of changing how a call actually gets made. And nobody has to have the uncomfortable conversation about why the data everyone paid for keeps arriving after the decision, not before it. The tell is always the same. Ask any executive team what data they used the last time they made a genuinely hard people call, a leadership change, a restructure, a retention decision on someone critical, and watch how long the pause is before anyone answers.
What Insight Theatre Looks Like Inside a Leadership Team
- A workforce dashboard exists, gets refreshed monthly, and nobody can name the last decision it actually changed.
- Attrition risk scores sit in a spreadsheet, and the leader who loses someone critical finds out from a resignation letter, not from a flag raised weeks earlier.
- The people committee meets quarterly and reviews the same slides the executive team already saw, without adding a single new decision to the calendar.
- HR presents workforce risk to the board once a year, framed as a report rather than as an input to a live, open decision.
- Engagement survey results get actioned with a generic all staff email instead of a specific change to how one team is actually managed.
- Succession plans are documented for compliance and never consulted when a leadership seat genuinely opens up.
Those six patterns are not signs of a lazy HR function. Most of the HR leaders I meet are working harder than ever, building better dashboards every year, adding more sophisticated models. The Mercer figure that should reframe how you read all of that effort is the 27%. Only about one in four executives believe HR effectively advises them on human capital risk and opportunity, despite the investment in analytics. That says more about where HR sits relative to the decision than about HR's competence. In most organisations, the function sits downstream of the call rather than upstream of it.
Why Only 27% of Executives Trust HR to Advise on Risk
Every HR leader I have asked about this has the same instinct: get better data, build a better model, add a new metric. That instinct is understandable, and it is also why the number has not moved. What actually closes the gap is a seat at the table before the decision is framed, not a sharper model after it. I go into more depth on how to improve executive team decision making elsewhere, but the short version applies directly here: a decision only improves when the right evidence arrives before the option set narrows, not after someone has already committed to a direction and is looking for data to support it. HR analytics that arrive after the leadership team has already decided are theatre by definition, however accurate the numbers are.
There is a harder version of this problem underneath the trust gap. Boards and CEOs often say they want HR to be more strategic, then measure the function on reporting accuracy and survey completion rates, not on decisions changed. You get what you measure. If nobody is tracking which leadership decisions were actually informed by workforce data this quarter, the honest answer is usually none, and the incentive to fix that stays at zero. Fixing the trust gap starts with changing what the function is accountable for, not with another dashboard refresh.
How to Close the Insight Theatre Gap
- Name the decision before you build the dashboard: Start every new people data initiative with the specific decision it exists to inform: a promotion call, a restructuring call, a retention call. If you cannot name the decision, you are building theatre with better production values.
- Give data a deadline that matches the decision, not the reporting cycle: Quarterly board decks are a reporting rhythm, not a decision rhythm. Leadership changes and retention risks do not wait for the next quarter. Build a short path from signal to the person who owns the call, measured in days, not months.
- Move HR upstream of the decision, not downstream of it: Put the people leader in the room while the option set for a leadership or restructuring decision is still open, not afterward to report on the outcome. A seat before the framing changes what the data is even allowed to influence.
- Track decisions changed, not dashboards shipped: Replace the count of reports produced with a running count of decisions that would have gone differently without the workforce data. If that count stays at zero for two quarters running, the pipeline is broken, not the platform.
- Force a disagreement protocol between the data and the decision maker's instinct: When the workforce data and the leader's gut conflict, write down which one won and why. That single habit turns data from decoration into an actual input, because it makes ignoring the data visible.
That fifth step matters more than it looks. Most leadership teams never formally register when they overrode the data, so the pattern of overriding it becomes invisible, and the data loses its authority one ignored flag at a time. I built the idea of a leadership operating system, described in more depth in the leadership operating system piece, around exactly this kind of accountability: a small number of subsystems that keep decisions running on evidence rather than on whoever argued loudest in the room. People data is one subsystem among several, and it only earns its place in that system when it is actually consulted, contested, and occasionally overridden on the record.
What Changes When the Data Actually Reaches a Decision
The companies that close this gap do not necessarily collect more data than the ones stuck in insight theatre. They collect less, aimed more precisely, and they build the habit of asking what decision this number is for before they start tracking it. That discipline is close to what I mean by evidence based leadership development: evidence chosen because a decision needs it, not gathered because it happened to be easy to measure. The shift is about who is accountable for what happens after the dashboard loads, not about better technology.
This is the distinction I want every leadership team to sit with. A metric is not intelligence until it changes what someone was going to do next. Everything before that point is theatre, however well produced. If you are serious about closing the gap Mercer's research just measured at scale, the honest first move is an audit, not another analytics tool: look back at the last five hard people calls your leadership team made, and check whether the data was in the room before the decision, not after it. That is the same diagnostic work I run through leadership assessments and through Capability AI, both built to put real evidence in front of a decision while it is still open, rather than to produce another report nobody reads after the fact.