The WFM checklist for an inventory

Category: FAQ

Excerpt: Our WFM checklist helps you to identify weak points in your HR planning and shows you where there is potential for optimization.

Is your workforce management fit for 2026+?

Workforce management has long been an operational discipline in customer service. It was about staffing shifts, planning capacities, maintaining service levels and keeping an eye on costs. But in 2026+, this perspective is no longer enough.

This is because service organizations today are under much greater pressure to meet expectations. Customers expect fast, cross-channel and reliable responses. Employees want more predictability, fairness and flexibility. Managers need real-time transparency so that they don’t have to wait until after the event to find out where service levels have slipped. At the same time, automation is changing, AI, hybrid working models, pressure on skilled workers and regulatory requirements are changing the rules of the game in customer service.

The central question is therefore no longer just: Have we scheduled enough employees? But rather: Is our workforce management still capable of reliably reflecting the reality of our service business? This is precisely the point at which it becomes important to take stock. Our WFM checklist starts here and examines central areas such as forecasting, demand analysis, workforce scheduling, daily management, reporting and time management. The aim is to make gaps visible before they lead to costs, bottlenecks or dissatisfaction in day-to-day business.

Why old planning logics are reaching their limits

Many service organizations have grown in recent years without developing their planning processes at the same pace. New channels have been added, service times have been extended, teams are working in a more distributed manner and customer expectations are rising. Despite this, many planning processes are still based on Excel lists, static weekly models or isolated systems.

The problem: modern customer service is no longer linear. A call takes a different amount of time than a chat. An email generates different processing logics than a social media contact. A callback requires different capacities than a synchronous live interaction. And when employees operate several channels within a shift, new requirements arise in terms of skills, workload and controllability.

A recent workforce management study for contact center managers shows the extent to which multichannel work is now part of everyday life: 79% of the organizations surveyed stated that their agents usually work on several channels at the same time. At the same time, companies report that forecasts often deviate from actual staffing requirements by 10 to 12 percent (source: NICE – “Managing the Modern Contact Center: Current Employer Trends”, 2025). It is precisely these deviations that determine waiting times, overload, idle time and escalations in day-to-day service.

For 2026+, this means that anyone who only sees workforce management as shift planning is falling short. It is about the ability to combine demand, skills, channels, working time rules, employee preferences and real-time data into a controllable overall system.

Forecasting: When averages are no longer enough

Forecasting is a common weakness. Many companies plan on the basis of historical data, average values or empirical knowledge. This is not wrong, but it is increasingly inadequate.

This is because demand today arises from many sources: seasonal effects, marketing campaigns, product changes, regulatory deadlines, disruptions in digital self-service routes, waves of illness, short-term peaks or external events. If these influencing factors are not systematically incorporated into planning, the result is a false sense of accuracy. The plan appears plausible, but does not stand up to reality.

It becomes particularly critical when forecasts are only considered on a monthly or weekly basis. In many service units, the real problems arise during the course of the day. An unexpected peak in the morning, a sick note in the skills team, a backlog in the back office or a sudden increase in chat volume can shift the entire daily schedule. Modern WFM systems must therefore do more than just calculate requirements. They must make deviations visible, enable scenarios and support operational decisions. The inventory should therefore check whether forecasts are regularly updated, whether multiple data sources are included and whether deviations between planned and actual figures are actually analyzed.

AI changes the service, but not the basic logic of good planning

AI is now also one of the major drivers of transformation in customer service. McKinsey reports that 78% of the organizations surveyed use AI in at least one business function; after IT and marketing and sales, service operations is the next most important area of application. At the same time, the same study shows that companies are more successful when they consciously redesign workflows and do not simply apply new tools to old processes (source: McKinsey & Company – “The state of AI: How organizations are rewiring to capture value”, 2025).

This is a crucial insight for workforce management. AI can improve forecasts, automate routines, recognize patterns and relieve managers. But it does not solve structural planning problems if data is incomplete, processes remain inconsistent or responsibilities are unclear.

Forrester puts it in a nutshell for customer service: AI is only as effective as the systems, data, knowledge bases and processes that support it. Fragmented technology stacks, poor data quality and a lack of process clarity significantly limit the benefits of AI (source: Forrester – “Why AI Isn’t The Silver Bullet For Customer Service – Yet”, 2025). This is why every WFM inventory 2026+ should also include an AI maturity assessment. Not in the sense of “Are we already using AI?”, but in the sense of: Do we have the data, processes and governance structures in place for automation to work reliably at all?

Customer experience becomes relevant to planning

Customer experience is no longer just a marketing issue. It is an operational control factor. If service levels are not maintained, waiting times increase or customers have to explain their concerns several times, CX becomes measurably worse.

The Deloitte Customer Experience Study 2025 shows that 92 percent of the companies surveyed rate customer experience as a high priority. At the same time, although 96% measure customer satisfaction, only 20% translate this data into a quantifiable financial benefit. This is precisely where a gap arises between claim and control.

For workforce management, this means that planning must not only optimize capacity utilization. It must consider service quality, availability, employee workload and economic impact together. A seemingly efficient plan can be expensive if it leads to overload, a falling first-time resolution rate or rising staff turnover.

Employees are becoming a decisive planning factor

The labor market in Germany remains tight and the structural shortage of skilled workers persists. In January 2026, the ifo Institute reported that 22.7% of companies were complaining about a lack of qualified workers, while also pointing out that technological changes, particularly AI, are continuing to change the labor market (source ifo Institute – “Shortage of skilled workers is decreasing”, 2026).

For service organizations, this means that every available working hour must be put to good use. At the same time, planning must not be at the expense of employees. This is because overwork, changes at short notice and non-transparent shift logics have a direct impact on motivation, sickness rates and staff turnover.

The aforementioned contact center study shows that flexible scheduling can be a concrete lever: 48 percent of the companies surveyed say that flexible scheduling offers have reduced their staff turnover.

A WFM inventory should therefore also ask: How fair and transparent are our shift plans? Are requests and availabilities taken into account? Can employees view vacation requests, time accounts or shift requests digitally? And do we recognize overwork early enough?

Greater focus on governance and compliance

As automation increases, so do the requirements for traceability, transparency and control. The EU AI Act stipulates requirements for risk management, data quality, logging, documentation, human oversight, robustness, cyber security and accuracy for high-risk AI. According to the current official EU presentation, the rules for high-risk AI will come into force from August 2026 (source: European Commission – “AI Act“). For WFM solutions, this does not automatically mean that every planning function falls into this category. But companies that use AI-supported decisions relating to work, deployment, performance or task distribution should consider governance, transparency and human control at an early stage.

Traditional topics such as working time rules, breaks, overtime, rest periods and documentation requirements also remain crucial. If these rules have to be checked manually, the risk of errors increases. If they are stored systematically, this creates security for planning, managers and employees.

The WFM check: a little self-control, a big gain in knowledge

An inventory does not have to be a long transformation project. A structured look at the key issues is often enough as a first step:

Are our forecasts precise enough to avoid overstaffing and understaffing? Can we incorporate short-term changes in demand into our planning? Do we have transparency about skills, channels and capacity utilization? Can team leaders react quickly in day-to-day business? Are employee requests, legal requirements and time accounts reliably taken into account? Do we recognize plan/actual deviations in real time or only in the monthly report?

Our free WFM checklist was developed precisely for this initial assessment. It guides you through the key areas of modern workforce management processes and helps you to identify untapped potential.

Conclusion: If you want to plan efficiently for 2026+, you need to honestly examine

Today, workforce management goes far beyond mere shift staffing. It influences customer satisfaction, costs, employee retention, service quality, compliance and operational resilience. A WFM system that was sufficient a few years ago can now become a bottleneck if it no longer reliably supports multichannel complexity, real-time control, flexible working models and data-based decisions.

The most important question is therefore not whether your workforce management “somehow works”. The more important question is: Does it still support your service business where the requirements are currently arising?

Those who answer this question honestly will recognize early on where processes, data, systems or planning logic need to be tightened up. And it is precisely this transparency that is the first step towards not only managing workforce management, but making it fit for the future. The free WFM checklist for self-monitoring is available for download below.

WFM checklist (PDF)