Harvey Ball Charts and Evaluation Matrices: When and How to Use Them

Harvey Ball charts—those small circles filled to varying degrees to represent performance or capability levels—are a staple of consulting presentations. You see them in vendor assessments, strategic option evaluations, M&A target screenings, and capability gap analyses. They're simple, scannable, and immediately intuitive.

Used correctly, Harvey Balls and the evaluation matrices they anchor can be among the most persuasive communication tools in a consulting deck. Used poorly, they're arbitrary-looking scorecards that invite the question: "Who decided these ratings?"

This guide covers the right contexts for Harvey Ball-style evaluation matrices, how to build scoring methodologies that hold up to scrutiny, and the design standards that distinguish professional-grade evaluation slides from amateurish ones.

---

What Are Harvey Ball Charts?

Harvey Ball charts are a simple categorical visualization invented by consultant Harvey Poppel in the 1970s at Booz Allen & Hamilton. They represent levels of performance, coverage, or capability using circles:

• Full circle (●): Full coverage / Strong performance / Yes
• Three-quarter circle (◕): Substantial coverage / Above average
• Half circle (◑): Partial coverage / Average
• Quarter circle (◔): Limited coverage / Below average
• Empty circle (○): No coverage / Weak performance / No

Some frameworks add a fifth level; some use only three. The number of levels should match the analytical precision of the underlying data—using five levels when the distinction between "three-quarter" and "full" isn't meaningfully different is false precision.

Harvey Balls are most effective when combined with an evaluation matrix: a table with options or competitors on one axis and criteria on the other. Each cell contains a Harvey Ball rating, and the combined view provides an immediate visual comparison across multiple dimensions.

---

When to Use Evaluation Matrices

Evaluation matrices excel in specific analytical contexts:

Multi-Criteria Option Assessment

When comparing three or more strategic options across several criteria, an evaluation matrix provides a cleaner comparison than multiple bar charts. The matrix format allows simultaneous comparison: "Option A is stronger on cost but weaker on speed; Option C is balanced across all criteria."

Common applications: vendor selection, market entry option analysis, strategic initiative prioritization, M&A target screening.

Capability Gap Analysis

Plotting a company's current capabilities against required capabilities (or against competitors) reveals gaps clearly. The matrix shows where the company is strong, where it needs to invest, and where it's at parity with the market.

Technology or Solution Comparison

Comparing software platforms, tools, or technologies across functional coverage, integration depth, and scalability using Harvey Balls is more scannable than a feature checklist.

M&A Target Screening

A matrix screening 10-20 acquisition candidates across strategic fit criteria (market position, technology, management quality, price) provides a first-cut view that focuses due diligence resources.

---

Building a Methodology That Holds Up to Scrutiny

The most common attack on evaluation matrices in client reviews: "Why did you rate Competitor B higher on customer service? That seems subjective." If you can't defend every rating with a specific, documented rationale, the matrix will be challenged.

Step 1: Define Criteria Precisely

Each criterion needs a clear definition that specifies exactly what "full coverage" means vs. "no coverage."

Weak criterion: "Customer service quality" Strong criterion: "Customer service response time under 4 hours with dedicated account management for enterprise accounts"

Precise criteria make ratings testable. Either the vendor meets the definition or they don't.

Step 2: Weight Criteria Explicitly

Not all criteria matter equally. Some matrices use equal weights implicitly; more rigorous analyses apply explicit weights.

If the client's top priority is implementation speed and the second priority is total cost, the matrix should reflect that—either through weighted scores or through the visual hierarchy (more important criteria at the top, with more prominent formatting).

If you're using equal weights, say so explicitly. If you're using unequal weights, show the weights.

Step 3: Score Based on Evidence

For each cell in the matrix, have a piece of evidence: a data point, a customer reference, a feature specification, a survey result. Document this evidence in a supporting table even if it doesn't appear on the main slide.

When a partner asks "How did you arrive at the half-circle rating for Vendor C on security compliance?", you should be able to say: "Their SOC 2 Type II certification covers their core product but not their API integration layer, which is the deployment method this client uses."

Step 4: Validate Key Ratings

For high-stakes matrices (vendor selections, M&A screenings), validate the most important ratings with an external check: a reference customer call, a product demo, an industry expert interview. Unvalidated ratings are opinions; validated ratings are evidence.

Step 5: Consider Directional Arrows

For matrices that compare current state vs. target state (capability gap analyses, roadmap planning), add directional indicators showing which gaps are being closed and by when. A Harvey Ball that's half-full today with an arrow pointing right (toward full) communicates a different strategic message than one that's been half-full for three years with no investment.

---

Design Standards for Evaluation Matrices

Column and Row Structure

Standard layout:

• Rows: Criteria (evaluation dimensions), listed from most to least important
• Columns: Options, competitors, or candidates being evaluated

For large matrices (more than five options or more than eight criteria), consider splitting into two slides or using color-coded row groupings.

Column Headers

Make column headers specific and descriptive. "Vendor A" tells the client nothing; "Vendor A (current vendor)" or "Option 1 (market entry via acquisition)" adds interpretive context.

Summary Row or Column

Add a summary row at the bottom that shows the overall rating or score for each option. This provides the bottom line before the detailed discussion begins.

For scoring-based matrices, show the weighted sum. For qualitative matrices, show a categorical overall assessment (Strong, Moderate, Weak).

Color Coding

Color coding should reinforce the Harvey Ball ratings, not replace them:

• Green background: Strong performance cells
• Yellow background: Moderate performance
• Red background: Weak performance

Don't use color as the primary indicator. Some clients print in black and white; some are color-blind. Harvey Balls plus color is more robust than color alone.

Legend

Always include a legend showing what each Harvey Ball level represents. A first-time viewer of the slide should be able to interpret the matrix without having been in a prior meeting.

---

The Slide Title: Making the Matrix Tell a Story

An evaluation matrix without a strong slide title is a table of data waiting to be interpreted. The slide title should do the interpretation.

Weak title: "Vendor Evaluation Matrix" Strong title: "Vendor B Leads on Integration Depth and Security Compliance—the Two Criteria With Highest Business Impact"

Weak title: "Strategic Option Comparison" Strong title: "Option 3 Is the Strongest Overall but Requires Resolving Two Critical Capability Gaps Before Implementation"

The title should answer the "so what" of the matrix: what should the client do or think differently having seen this comparison?

---

Common Mistakes With Evaluation Matrices

Too many criteria. A matrix with 15 criteria is unreadable at a glance and suggests the analyst hasn't prioritized what matters most. Limit to seven to ten criteria maximum on a single slide. Group related criteria and show detail in an appendix if needed.

Rating inflation. When every option scores "three-quarter" or "full" on every criterion, the matrix doesn't discriminate. This often happens when analysts avoid controversy by giving generous ratings. A useful matrix must show meaningful differentiation.

Inconsistent rating logic. Some analysts unconsciously apply stricter standards to options they prefer less. Rate all options against the same written criteria definition, ideally without knowing which option the partner expects the matrix to favor.

Missing legend. Presenting a matrix without explaining what the Harvey Ball levels mean forces the audience to guess. Always include a legend.

Unsourced ratings. A matrix presented to senior executives or clients should have at minimum a brief footnote on data sources. "Ratings based on product demos, customer references, and vendor documentation (March 2026)" takes two lines and prevents the sourcing question.

---

Alternatives to Harvey Balls

Harvey Balls are appropriate for qualitative or categorical assessments. For quantitative comparisons, consider:

Heatmap matrix: Color-coded cells with numerical values. Useful when precise numbers matter (e.g., cost comparison, performance benchmark data).

Radar chart: Shows multiple dimensions for two or three options simultaneously. Useful for seeing overall profile rather than criterion-by-criterion comparison.

Dot plot: Plots options along a single criterion axis. Useful for showing ranking on a quantitative scale.

For most consulting evaluation matrices, Harvey Balls remain the clearest option for mixed quantitative/qualitative criteria—they communicate degrees of performance without false numeric precision.

---

Building Evaluation Matrices in PowerPoint

Harvey Ball charts in PowerPoint are typically built using Unicode circle characters or custom shapes:

• Full circle: ● (Unicode 25CF)
• Half circle: ◑ (Unicode 25D1)
• Quarter circle: ◔ (Unicode 25D4) / Three-quarter: ◕ (Unicode 25D5)
• Empty circle: ○ (Unicode 25CB)

Set these characters in a consistent font (Segoe UI Symbol works reliably), sized to be clearly visible within table cells. Use a table structure for the matrix itself to maintain alignment as content changes.

Poesius automates Harvey Ball generation within evaluation matrices, ensuring consistent sizing, spacing, and color conventions across the deck.

---

Related Resources

• The 10 Chart Types Every Management Consultant Needs to Master
• 3×3 Matrix Slides: Building Positioning Frameworks That Communicate
• How to Use the BCG Matrix in Strategy Presentation Slides
• Data Visualization for Consulting: When to Use Which Chart