The Annual Engagement Survey Is Dying. AI Coaching Is Replacing It

U.S. companies lose up to $2 trillion in productivity to disengaged employees, and Gallup's data show engagement has hit an all-time low: 31% of U.S. employees are engaged, flat from last year, with 18% actively disengaged. Against that backdrop, a growing contingent of HR-technology vendors argues the annual engagement survey itself is the problem.

The ritual is familiar. An email arrives with survey data cut a dozen ways. Scores are marked green and red against last year, team against team. A slide deck, a town hall and action-planning committees follow. A month later, nobody mentions it again — and the company doesn't ask again for a year.

One division leader inside Big Tech companies including Google and Meta, named Jennifer, felt the limits of this cycle personally. She knew that if she did nothing, people would feel like she wasn't listening. Yet she wasn't sure how to act on the results. No matter how many tiger teams her team created, it wasn't clear that anything moved the numbers. By the time the next survey ran a full year later, she couldn't tell whether any intervention had created change at all.

The part nobody says out loud, according to Rising Team, a leadership-development firm: managers and teams already knew what the results would be. The survey captured what had been said behind closed doors for months. The frustration was that no one had tools to drive change.

The business case for engagement itself is not in dispute. Gallup's Q12 meta-analysis — the largest study of its kind, covering more than 3 million employees and 183,000 business units across 90 countries — found that the most engaged teams are associated with 23% higher profitability, 18% higher productivity, and 32% fewer quality defects than the least engaged. Business units with the most engaged employees are more than twice as likely to post above-average performance; the most engaged teams are nearly five times as likely to perform as well as the least engaged.

An entire industry exists to measure this. Companies have built engagement into operating rhythms, goals, and reporting to boards and shareholders. Yet the numbers rarely move, because companies measure too infrequently and managers aren't trained to act on the results. When scores do improve, it's typically in pockets where the organization already has its strongest natural leaders.

The vendors themselves know the traditional approach isn't working. Culture Amp, Qualtrics, Perceptyx and others are racing to build continuous listening, conversational AI, and built-in action planning, moving beyond pulse surveys. More frequent insights, though, haven't changed the trend line.

From measurement to a system of action

Rising Team, which works with CHROs, CIOs and other senior leaders across Fortune 1000 companies, startups and global nonprofits, says it sees a generational shift toward an entirely different model: continuous manager and team development. AI, the firm argues, can drive known managerial behaviors — building trust, setting clear expectations, understanding working styles, fostering collaboration — at scale in three ways.

First, individuals work with an AI coach, such as Rising Team's AI leadership trainer Arti, communicating privately about goals, needs, challenges and concerns rather than answering survey questions. Second, anonymous trend data aggregates instantly for managers and admins, sliced by level, function and location, and keeps evolving — no year-long wait for fresh data. Third, tools like Arti build custom action plans for each manager and team member, so items that would have surfaced as survey concerns are actioned immediately. AI can also role-play hard conversations and guide team-building sessions.

The stakes are rising with AI transformations

BCG's research across AI transformations it has studied finds that only 10% of success comes from the algorithms, and 20% from technology and data infrastructure. The remaining 70% rests on the managers and teams leading through the change — which raises the cost of lukewarm engagement programs.

One Fortune 50 technology company that rolled out Rising Team's continuous-development system with self-serve tools during a massive AI transformation achieved higher engagement scores across the board, including up to a 30% increase in trust and connection scores and a 20% increase in manager effectiveness. Leaders said their teams adapted to change with more resilience. The same company posted high double-digit revenue growth in a year when growth has been hard to come by for most.

Rising Team's conclusion is blunt: most companies are chasing better response rates and stronger scores on a survey they shouldn't need to run anymore. The companies that replace measurement with real-time action, the firm argues, will be the ones whose AI transformations actually succeed.