Frontline research: Why transformation fails to stick
Dayforce President and COO Steve Holdridge unpacks a challenge many frontline leaders know well: Change initiatives may start with strategy, but they succeed or stall in the day-to-day. New Dayforce research shows how fragmented systems and operational pressure can prevent transformation from taking hold.

Table of Contents
Frontline work has changed quickly in recent years.
Cost pressures are rising. Labor needs are shifting faster. AI is raising expectations for productivity, decision-making, and speed. And leaders are being asked – often all at once – to improve performance, control costs, support employees, and respond to change.
Most organizations recognize the need to transform. Many are setting new priorities, introducing new tools, and rethinking how work gets done.
But launching change initiatives isn’t the same as making change last.
In our latest Dayforce research special report, 80% of executives and managers said daily operations pull focus away from transformation efforts or prevent progress from sticking.
That finding points to a challenge many business leaders at frontline organizations recognize. Change may start with a clear strategy, but it succeeds or stalls in the realities of frontline operations: open shifts, cost pressures, compliance needs, employee support, and customer expectations.
When managers are already balancing competing priorities, change can quickly become one more thing they're expected to manage instead of something built into the way work gets done.
Why change loses momentum
Transformation typically starts with alignment. Executives identify a business need. Teams set priorities. New processes or technologies are introduced.
Then the realities of frontline operations sets in.
A schedule changes. A labor cost issue needs attention. An employee calls out. A compliance concern surfaces. A new initiative may matter, but the immediate issue demands action.
That’s how momentum fades. Not because people don’t believe in the change, but because daily work keeps taking priority.
Our research found that only 6% of executives and managers said transformation is well integrated into how daily work gets done.
When change sits outside the normal flow of work, it becomes harder for managers to carry it forward consistently. They're expected to keep the business moving while adapting to new ways of working, often without the systems or processes to make that easier.
Disconnected systems slow decisions
Frontline work doesn’t happen in clean, separate categories.
A scheduling decision can affect labor costs, compliance, coverage, employee experience, productivity, and service quality at the same time. A staffing decision may depend on availability, skills, pay rules, overtime exposure, and development needs.
For frontline managers, those factors come together in real time. But in many organizations, the systems that support those decisions are still fragmented.
That creates friction exactly when speed and clarity are most needed. Managers spend time gathering information, checking different tools, and filling in gaps before they can act.
In our research, 66% of executives and managers said decisions slow down because workforce data isn’t in one place.
That’s more than an efficiency issue. It affects how quickly organizations can respond, how consistently teams execute, and how confidently leaders can manage change across locations, roles, and teams.
AI raises expectations
AI is increasing the pressure to move faster and make better decisions.
For frontline organizations, AI has the potential to help leaders identify risks sooner, respond to changes faster, and improve how work gets planned and managed. But AI can’t solve a fragmented operating environment on its own.
In fact, it can make the gaps more visible.
AI depends on accurate, connected, usable information. If workforce data is scattered across systems, if processes vary by location, or if managers still have to reconcile information manually before they can act, AI will have limited impact.
This doesn’t mean organizations should wait to embrace AI. It means the foundation matters.
Before AI can meaningfully improve frontline work, organizations need a clearer view of the people, skills, costs, schedules, and decisions shaping operations every day.
Building a stronger foundation for change
More tools don’t always mean more progress.
For frontline organizations, the path forward starts with making work easier to see, manage, and adapt. That means connecting the workforce decisions that already depend on each other.
When time, pay, skills, scheduling, and workforce needs are managed in one place, leaders and managers don't have to piece together what’s happening across separate systems before they can act. They can make decisions with more context and better understand how operational choices affect productivity, risk, employee experience, and overall business performance.
That’s what helps change move from strategy to execution.
Because on the frontline, change doesn’t become real in a planning session. It becomes real in the everyday choices managers make to keep work moving, support their teams, and respond when conditions change.
Download the Dayforce research special report, The hidden reason frontline transformation fails to stick, to learn how organizations can build a stronger foundation for lasting change.
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