5 Common Myths About Data-Driven Performance Management

Between 2018 and 2023, 74% of organizations significantly modified their performance management approaches, according to research by Gartner. This shift signals the decline of traditional performance management in favor of more dynamic, data-driven approaches. Organizations are looking for data-driven systems that allow for continuous feedback, alignment with business goals, and support for employee development. For 27% of CHROs, optimizing talent management strategies is a key challenge in 2025, according to SHRM’s CHRO Priorities and Perspectives Report.

However, persisting myths about data-driven performance management can slow progress, preventing both employers and employees from fully realizing its benefits. By addressing these misconceptions head-on, organizations can enhance agility, improve workplace experiences, and maintain a competitive edge.

SHRM Member-Only Content: The Evolving Landscape of Performance Management

Myth No. 1: ‘These systems are too expensive for my organization.’

Fact: Modern performance management tools are available for various budgets, including scalable solutions for small and midsize businesses. Additionally, the long-term return on investment often outweighs the initial cost by improving retention, productivity, and decision-making.

Actionable Tips: 

• Start small by dedicating time to researching available tools with a free or low-cost option.
• Pilot a system within one department before expanding organization wide
• Scale up with the lessons learned from the pilot to maximize investment.

Myth No. 2: ‘It’s too complicated to implement and will disrupt our workflow.’

Fact: Many systems are designed with user-friendly interfaces and guided onboarding processes. Providers often offer extensive support, including training sessions, tutorials, and customer success managers to ensure a smooth transition.

Actionable Tips: 

• Explore customization options to understand how a chosen system can work with your unique needs.
• Consider scheduled training with system administrators to ensure universal learning and knowledge. 
• Consider a phased rollout to ease the transition and learning curve.

Myth No. 3: ‘It will replace human judgment with cold, impersonal data.’

Fact: Data-driven systems enhance human decision-making rather than replace it. They provide objective insights to supplement managers’ evaluations, leading to fairer, more balanced outcomes.

Actionable Tips: 

• Emphasize using data to inform discussions rather than dictate decisions.
• Make room for nondata aspects of managers’ evaluations to ensure a human-centered approach.

Myth No. 4: ‘Our team isn’t tech-savvy enough to use advanced systems.’

Fact: Modern systems are designed with intuitive interfaces, making them easy for nontechnical teams to adopt. Most vendors also provide ongoing support and training resources.

Actionable Tips: 

• Conduct a skills assessment to gauge the current level of employees.
• Offer role-specific training sessions that help build confidence and familiarity with the new system.

Myth No. 5: ‘We already have a system in place, so switching isn’t worth it.’

Fact: Legacy systems often lack the agility and insights of modern tools, which can lead to missed opportunities. Transitioning to a more dynamic system can improve efficiency and employee satisfaction.

Actionable Tips: 

• Start with a pilot program to compare the new system’s effectiveness against your current setup.
• Evaluate organizational openness to change through a survey to capture current bottlenecks that could be improved by switching systems.

Embracing Agility in Performance Management

In today’s marketplace, agility reigns supreme. Organizations that embrace data-driven performance management systems gain a competitive advantage, improving decision-making, employee experience, and overall efficiency. By dispelling common myths and proactively addressing concerns, companies can unlock the full potential of modern performance management tools and achieve both business success and employee growth.

Advance Your Organization's Data Skills