From Performance Management to Performance Enablement

Introduction

In the past, performance reviews happened once or twice a year and relied on forms, ratings, and calibration meetings. It made performance management complicated for almost every leader. This process pulled managers away from their actual work and the results they were expected to deliver. Business teams treated performance management as an interruption, while experienced engineers, sellers, and operators saw people management as the tax they paid for seniority.

The process measured performance but did little to improve it.

As organizations looked for ways to make performance reviews more useful, many replaced annual appraisals with regular check-ins, ongoing feedback, and conversations about employee growth. Software platforms helped make these conversations a structured part of the management process.

Continuous performance management gives organizations better visibility into performance and development. But it largely focuses on understanding how people have performed, not on helping them reflect on what happened. Understanding how people have performed is not the same as improving the conditions in which they work. Addressing that distinction requires a broader approach: performance enablement.

What Is Performance Enablement?

Performance enablement is an enterprise-wide approach to improving workforce and business performance by identifying barriers to effective work and addressing them through better processes, talent capabilities, technology, data, and AI.

It shifts the focus from evaluating performance to improving the conditions that enable it. It connects the capabilities, knowledge, processes, technology, data, and AI that help people and teams do their work effectively.

Performance enablement is not a new performance-management process. For enterprises, it is an operating approach. It begins by diagnosing constraints, understanding the underlying friction, and designing targeted interventions to improve performance. It connects the work people do with measurable business outcomes. AI can be part of the solution, but the starting point is identifying the performance problem. Technology comes later.

What Building ‘Polestar’ Taught Harbinger About Performance Enablement

A few years ago, Harbinger started continuous performance management. The company established weekly and fortnightly one-on-one meetings between employees and managers. Harbinger’s leadership team deliberately positioned meetings as a platform for the employee rather than a manager’s status update.

Later, Harbinger developed its own continuous performance management platform, Polestar, to support conversations, surface patterns, and give employees regular opportunities to discuss their progress. Over time, the platform expanded beyond feedback to include coaching and personal learning plans.

This approach created consistency, generated useful signals about individual and team performance, and gave employees a structured opportunity to discuss their development. It helped leaders understand where someone stands.

However, the experience also had its limitations. Continuous performance management remained primarily a management system and did not offer a solution for improving measurable work.

Performance enablement changed this by using performance information to recommend actions that improve conditions, capabilities, and support, and to improve future performance.

The Shift to Performance Enablement

Performance enablement changes the organization’s role in achieving better outcomes. It offers greater responsibility for providing the context, practice, knowledge, and coaching people need to perform effectively. Individuals no longer need to wait for a manager’s availability and invention, as AI can deliver support in the flow of work.

PE is not simply an extension of an HR program. It is an operating-model shift. When a function’s output depends on how effectively an organization enables the people and AI agents doing the work, enablement becomes a direct input to functional and enterprise performance.

Harbinger’s performance enablement approach starts by diagnosing the friction that prevents a workforce from achieving its business outcomes. It then brings together workforce process design, talent enablement, capability development, technology, data, and AI to address the underlying problem.

Each function has its own responsibilities and works in a shared environment to improve workforce performance:

• Business functions look after outcomes
• HR and L&D build capability
• Technology teams support the platforms, data, and AI infrastructure.

Performance enablement also reflects a similar evolution in the technology landscape. For enterprise leaders, performance enablement is not simply another software category or an extension of the review cycle. It is moving towards a strategic capability. For example, learning platforms are moving towards skills management, personalized coaching, and role-based development.

Sales Enablement: The First Proof of Performance Enablement

Traditionally, sales organizations relied on CRM platforms, pipeline reviews, forecast calls, quota attainment, and win/loss analysis to understand how their teams were performing. These mechanisms provided increasingly precise results, but they didn’t necessarily help individual sales representatives improve.

Sales enablement made relevant content available at the moment of a deal, introduced structured onboarding and practice, and used customer conversations to inform coaching. Sales enablement shifted the focus from reviewing pipeline performance to understanding whether a representative was prepared for the next customer conversation. The main objective is to help people perform effectively.

Highspot and Seismic platforms help surface relevant sales content

Gong and similar conversation-intelligence tools turn customer interactions into coaching insights

Showpad and similar solutions connect content, training, and readiness.

Sales enablement can also be extended to customer success, frontline operations, leadership, and partner teams. Each function has different challenges and outcomes, but they all want to identify what constrains performance and provide the support and capabilities needed to improve it.

Beyond Sales: From Performance Signals to Capability Development

Performance information becomes more valuable when it helps organizations identify capability gaps and take targeted action.

These examples show how performance signals become a starting point for intervention, going beyond a record of what happened. Whether the challenge involves leadership development or workforce skills, the objective is to connect insight with the capabilities people need to perform more effectively.

What This Means for Enterprise Leaders

Enterprises that enable performance and add capability measurement in every function will stay ahead. But this requires attention beyond appraisal processes towards workforce capability, workflow design, technology adoption, access to knowledge, and how people and AI agents work together, which are factors influencing outcomes.

Since AI is now reshaping the roles and changing how work flows and gets done, organizations need to understand how their people are performing and what will help them perform better. For enterprise CEOs and functional leaders, enablement belongs on the operating agenda, not delegated entirely to HR.

For CEOs and CTOs of software product companies, this shift also affects product strategy. Technology designed only to manage or measure performance increasingly needs to evolve toward enabling it through coaching, practice, contextual support, and demonstrable readiness. The opportunity is to move beyond dashboards and records toward products that help users perform better, using AI to improve the work itself rather than simply adding AI around existing workflows.

Enterprise leaders are deciding how to build performance-enabling capabilities into their organizations, while product leaders are deciding how to build those capabilities into their products. Both are responding to the shift from managing performance to enabling it.