The driver map
What’s really moving engagement, from purpose and manager to growth, recognition, belonging, and workload. It’s grounded in what people said, segmented by team and tenure, with dissent preserved.
A neutral AI confidentially interviews your people about purpose, their manager, growth, belonging, and workload. It’s a real conversation rather than a rating scale, and it returns segmented themes plus a prioritised plan for what to change first.
Annual surveys hand you a number and a heat-map, not a reason. Free-text boxes go unread, follow-up never happens, and people stop being candid once they doubt it’s anonymous. So you’re left guessing at the drivers behind a falling eNPS.
What’s really moving engagement, from purpose and manager to growth, recognition, belonging, and workload. It’s grounded in what people said, segmented by team and tenure, with dissent preserved.
Where sentiment diverges, and which team, level, or tenure band is quietly disengaging. It only surfaces where the group is large enough to stay anonymous.
A sequenced set of interventions, each tied to an evidenced driver, so your effort goes where it will actually move how people feel.
What’s actually driving engagement up or down, in our people’s own words?
Which teams or tenure bands are quietly disengaging, and why?
Where do people feel unsupported, unheard, or overloaded?
What would people change first if it were their call?
Which of these drivers would move the most if we fixed it?
Your people answer anonymously, and candour depends on it. Responses are aggregated into segments, and any group too small to protect a person is suppressed or merged before you see it. You get the patterns and the preserved dissent, never individuals, which is why people tell you the truth.
Scope an employee-sentiment diagnostic in minutes. It’s confidential, self-serve, and deeper than any survey.