Automating Payroll in Workday: How to Create Pay Group Assignment Rules

HRMS Selection Gets More Complicated Than It Should

Selecting an HRMS (Human Resource Management System) is one of the most impactful technology decisions an HR team makes — and one of the most frequently handled poorly. The market is crowded, vendors are skilled at demos that showcase strengths while minimizing weaknesses, and the buying process is long enough that decision fatigue becomes a real factor by the end. The result is that many organizations end up with systems that are either under-suited to their needs, over-complicated for their scale, or poorly implemented from the start.

Here are the ten mistakes that show up most often — and what to do instead.

Mistake 1: Starting with the Demo Before Defining Requirements

Vendor demos are designed to impress. When you haven't clearly defined your requirements before watching a demo, you make decisions based on what impressed you rather than what you actually need. The flashy analytics dashboard that got your executive sponsor excited may be the least important capability for your daily operations.

Build a requirements matrix before engaging vendors. Separate must-have capabilities from nice-to-haves, assign business owners to each requirement, and get input from the people who will actually use the system daily — not just the HR leadership who will use it monthly. A thorough cost-benefit of HRMS investment analysis is a useful vehicle for forcing this requirements clarity early.

Mistake 2: Under-Estimating Implementation Complexity

HRMS implementations are almost always more complex, more time-consuming, and more expensive than initial vendor estimates suggest. Data migration from existing systems is consistently the biggest surprise — employee records, historical data, custom fields, and document attachments require significant work to clean, map, and validate before migration.

Build implementation timelines with 30-40% buffer beyond vendor estimates. Plan for a parallel-run period where both old and new systems operate simultaneously. Budget for unexpected data quality work, and get detailed references from the vendor's customers in implementations of similar scale and complexity to yours.

Mistake 3: Letting IT Drive the Decision

IT has legitimate interests in an HRMS selection: security architecture, integration requirements, maintenance overhead, and compliance with enterprise technology standards. But HRMS is fundamentally an HR tool, and HR usability should be the primary evaluation criterion. Systems that score well on IT criteria but are frustrating for HR administrators and employees to use tend to get worked around — which eliminates most of the value.

Structure the evaluation so that HR professionals have the deciding vote on usability and fit, while IT provides input on technical feasibility and compliance. Organizations bridging HR technology gaps often find that IT-led HRMS selections end up with technically sound systems that HR doesn't use effectively.

Mistake 4: Ignoring the Employee Experience

Modern HRMS platforms aren't just used by HR. Employees use them to update information, request time off, access pay stubs, and enroll in benefits. Managers use them to approve time, conduct performance reviews, and manage team schedules. If the employee and manager interfaces are poor, adoption suffers and HR gets more manual requests to handle — negating the efficiency gains the system was supposed to deliver.

Require vendors to demo employee and manager self-service workflows specifically, not just the HR administrator view. Conduct usability testing with actual employees and managers before final selection. Mobile experience matters particularly for field and hourly workforces.

Mistake 5: Not Evaluating Integration Requirements Thoroughly

An HRMS doesn't operate in isolation. It needs to connect with payroll (if separate), benefits carriers, background check vendors, learning management systems, and potentially ERP or finance systems. The integration questions should be answered before contract signature, not after.

Ask vendors specifically: What integration method connects to your specific payroll or LMS platform? Is it a pre-built certified integration or a custom API project? Who maintains the integration when either platform updates? What's the typical implementation timeline for this integration? The HR technology for small businesses considerations around integration are relevant here — smaller organizations are often surprised to discover that "industry standard integrations" require expensive professional services work.

Mistake 6: Choosing Enterprise When Mid-Market Fits

Enterprise HRMS platforms (Workday, Oracle HCM, SAP SuccessFactors) are powerful. They're also expensive, complex to implement, and require ongoing technical resources to maintain. Organizations with under 1,000 employees often find that they've bought more platform than they can effectively use and maintain.

Mid-market platforms like Paylocity, UKG Ready, Rippling, or Paycom deliver 80-90% of the functionality at significantly lower cost and complexity for most organizations under 1,000 employees. Be honest about your actual complexity rather than assuming you need enterprise capabilities because you aspire to enterprise scale.

Mistake 7: Neglecting Compliance Features

Compliance features are the unglamorous side of HRMS selection, and they often get underweighted in favor of flashier capabilities. But your HRMS is a compliance tool — it manages records that are subject to legal retention requirements, produces reports for regulatory filings, and enforces processes that affect employment law compliance.

Evaluate specifically: ACA reporting capabilities, state leave law tracking (FMLA, state-specific paid leave programs), I-9 management, document retention and audit trail features, and EEOC data reporting. Systems that handle these poorly create real legal exposure. The decision support system components for compliance in an HRMS should include proactive alerts when compliance deadlines approach or when data suggests a potential issue.

Mistake 8: Underinvesting in Change Management

Technology implementations fail at the change management layer more often than at the technology layer. A perfectly configured HRMS that employees and managers don't know how to use, don't trust, or actively resist delivers minimal value. Change management — communication, training, champion networks, and executive sponsorship — is not optional.

Budget for change management explicitly, not as an afterthought. Plan communication campaigns that start before go-live and continue through the early months of operation. Identify internal champions in each department who will support their colleagues. Invest in training beyond the initial go-live period.

Mistake 9: Treating the Contract as the End of the Vendor Relationship

Vendor relationships need active management. Designate an internal owner for the HRMS vendor relationship, schedule regular meetings, and stay current on the vendor's product roadmap. HRMS platforms release updates frequently, and organizations that don't track new features miss capabilities they've already paid for.

Negotiate SLAs with teeth, escalation paths for service issues, and contractual provisions for data portability before signing. The leverage you have as a prospect disappears after contract signature. Understanding the full investment you're making — including the skills you'll need to extract value from the platform's data — positions you for a better outcome.

Mistake 10: Skipping the Data Governance Conversation

HRMS platforms hold sensitive employee data. Before deployment, establish clear data governance: who can access what data, how data is used for analytics, what data is shared with third-party integrations, and how the organization will handle employee requests to access or delete their data under applicable privacy laws.

This isn't just a compliance exercise. Organizations that treat employee data with care and transparency build more trust with their workforce — and trust affects how openly employees engage with HR systems and processes. Building this governance foundation before launch is far easier than retrofitting it after the system is live and data patterns are established. The same careful investment analysis that goes into the technology decision should extend to understanding how AI in compensation and benefits tools connected to your HRMS will handle sensitive pay and performance data.

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