Establish 3 performance levels (Low, Medium, High) with specific behavioral and outcome-based descriptors for each. Performance should be assessed against documented goals, competency standards, and role expectations from the most recent review cycle. Use factual data — goal achievement percentages, KPI results, and calibrated performance ratings — rather than subjective impressions.

Adopt a validated potential assessment approach. Common models include the ability-aspiration-engagement model (Corporate Leadership Council), learning agility dimensions (Korn Ferry), or the potential indicators from SHL/CEB. Potential should assess capacity for future growth — learning agility, adaptability, leadership capability, and motivation to advance — not simply current high performance.

Train all calibration participants to understand that high performance does not automatically equal high potential. Performance reflects results in the current role; potential reflects capacity to succeed in larger, more complex, or different roles. A top performer who has maximised their current role but lacks interest or ability for broader responsibilities may be high-performance, moderate-potential.

Design the grid with Performance on the X-axis (Low, Moderate, High) and Potential on the Y-axis (Low, Moderate, High), creating 9 boxes. Label each box with a descriptive name — e.g. Box 1 (High Performance / High Potential) = 'Star / Future Leader'; Box 9 (Low Performance / Low Potential) = 'Underperformer / Action Needed'. Define the talent strategy for each box.

Specify the minimum data package for each employee being discussed: current performance rating, goal achievement data, competency assessment, tenure in role, career aspiration statement, and any 360-degree feedback or assessment centre results. Standardising inputs ensures calibration discussions are data-driven rather than anecdotal.

Run a 60–90 minute pre-calibration workshop covering the 9-box methodology, common biases (halo effect, recency bias, similarity bias), and how to present talent cases with evidence. Provide practice exercises using fictional profiles to build calibration skills before the live session.

Use a round-table format where each manager presents their team members with supporting evidence. Start by calibrating a few well-known individuals to establish shared standards, then proceed through the full population. Allow 3–5 minutes per employee. The facilitator (typically HR) ensures consistency and challenges unsupported claims.

Actively probe each placement: What data supports this performance rating? What evidence of learning agility or leadership potential exists? Are there any recency bias concerns? Could diversity biases be influencing the assessment? Cross-validate by asking other managers in the room who have interacted with the employee.

Record the evidence and reasoning behind each placement, not just the box assignment. This documentation provides transparency, enables year-over-year tracking, and protects the organization against claims of unfair talent decisions. It also supports more meaningful subsequent conversations with employees.

Review the aggregate distribution — a healthy organization typically has 10–15% in the top-right box (Stars), 60–70% in the middle boxes (Core Contributors), and 5–10% in the bottom-left box (Action Needed). If the distribution is heavily skewed to one area, explore whether calibration standards need adjustment.

Stars (Box 1) should receive stretch assignments, executive mentoring, high-visibility projects, accelerated leadership development programs, and succession planning visibility. Retention risk is highest for this group — ensure compensation is competitive and career progression is visible. Aim to promote or significantly expand scope within 12–18 months.

These employees (Box 2) are highly valuable in their current roles and may grow further with targeted development. Invest in deepening their expertise, expanding their scope incrementally, and testing their readiness for increased responsibility through special projects or acting roles. Avoid overlooking them in favour of flashier high-potentials.

Employees in Box 4 show strong potential but have not yet fully delivered on performance. Investigate whether performance gaps are due to role fit, insufficient support, or skill gaps that can be addressed. Provide coaching, mentoring, and clear performance expectations with short-cycle check-ins to accelerate their growth.

The centre box (Box 5 — Moderate Performance / Moderate Potential) typically contains the largest group and represents the backbone of the organization. Keep them engaged through meaningful work, skill development, recognition, and lateral move opportunities. Do not neglect this group — their collective contribution is substantial.

Employees in Box 9 (Low Performance / Low Potential) require direct, honest conversations about performance gaps and expectations. Place them on structured performance improvement plans with clear milestones and support. If improvement does not materialise within the agreed timeframe, make fair and documented exit decisions.

Decide on the organization's transparency policy regarding 9-box placement. Many organizations share development actions and career conversations derived from the grid without revealing the specific box assignment. If sharing placement, train managers to frame it constructively — focusing on development opportunities rather than labels.

Within 30 days of the talent review, every manager should hold a development conversation with each team member and create or update their Individual Development Plan. The plan should include specific development actions, timeline, resources, and how progress will be measured — directly informed by the talent review insights.

Feed 9-box data into succession planning by mapping high-potential employees to critical roles they could fill in the future. Identify readiness timelines (ready now, ready in 1–2 years, ready in 3–5 years) and create targeted development to close readiness gaps.

For organizations with rapid growth or high-change environments, consider light-touch quarterly updates to 9-box placements rather than relying solely on annual reviews. This ensures talent strategies remain current and responsive to changes in performance or potential indicators.

Analyse how employees move across the grid between review cycles to assess whether development investments are working. Positive movement (toward higher performance or potential) validates talent strategies; stagnation or regression signals a need for intervention. Present movement data to leadership as a key talent health metric.

Analyse placements by gender, ethnicity, age, and other protected characteristics to identify potential systemic biases. If certain groups are disproportionately clustered in lower boxes, investigate whether the assessment criteria, rater biases, or structural barriers are contributing factors and take corrective action.

Track whether employees rated as high-potential actually achieve promotions, successfully take on larger roles, and demonstrate sustained strong performance. This predictive validity analysis reveals whether the potential criteria are accurate or need refinement. Research suggests many potential models have weaker predictive validity than assumed.

Acknowledge limitations such as the oversimplification of reducing talent to two dimensions, the subjectivity of potential assessment, and the risk of creating fixed labels. Consider enhancements like adding a third dimension (e.g. engagement or flight risk), using continuous scales instead of 3-point categories, or supplementing with psychometric data.

Combine 9-box talent distribution data with workforce planning models to forecast bench strength, identify talent gaps in critical roles, and plan recruitment strategies. This integration transforms the 9-box from a talent review exercise into a strategic workforce planning tool.

Compare your 9-box distribution with published industry benchmarks (from consulting firms like McKinsey, Korn Ferry, or Mercer) to assess whether your talent pipeline is competitive. Significant deviations may indicate issues with talent attraction, development, or retention that require strategic attention.