Deep Dive9 min•Updated 2025-01-21

Data Interpretation in Case Interviews: Charts & Math

Read charts like a consultant. Learn the SCAN method to analyze exhibits fast, pick the right calculations, and avoid common data pitfalls.

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Data interpretation questions test your ability to extract insights from exhibits—charts, tables, and graphs. They're especially common at McKinsey (with their chart-heavy cases) and in written case tests.

Why Data Interpretation Is Tested

Consultants spend significant time analyzing data and communicating findings. Interviewers want to see that you can:

  1. Quickly scan an exhibit and identify what matters
  2. Perform the right calculations
  3. Connect numbers to business insights
  4. Communicate findings clearly

The SCAN-STRUCTURE-CALCULATE-SYNTHESIZE Method

Step 1: SCAN (10 seconds)

  • What type of chart is it? (bar, line, pie, table)
  • What are the axes/headers?
  • What time period?
  • What units?

Step 2: STRUCTURE (10 seconds)

  • What question am I trying to answer?
  • What data points do I need?
  • What calculation makes sense?

Step 3: CALCULATE (30-60 seconds)

  • Extract the numbers
  • Perform the math
  • Round appropriately

Step 4: SYNTHESIZE (15 seconds)

  • What does this mean for the business?
  • Is this good or bad?
  • What's the "so what"?

Common Chart Types

Bar Charts

Look for: Comparisons between categories, trends over time

Common calcs: Differences, ratios, growth rates

Line Charts

Look for: Trends, inflection points, seasonality

Common calcs: Growth rates, slopes, projections

Stacked Bar/Area

Look for: Composition changes, relative share

Common calcs: Mix shift, percentage of total

Waterfall Charts

Look for: Bridge from start to end, positive/negative contributors

Common calcs: Net change, largest drivers

Pie Charts

Look for: Relative proportions, dominant segments

Common calcs: Percentage shares, concentration

Typical Math Operations

Question TypeCalculation
"How much did X grow?"(New - Old) / Old × 100%
"What's the difference?"Absolute: A - B; Relative: (A-B)/B
"What's the average?"Sum / Count
"What's X as % of total?"X / Total × 100%
"How does X compare to Y?"Ratio: X/Y or Difference: X-Y

3 Worked Chart Examples

Example 1: Revenue Bar Chart

Chart shows: 2022 revenue $80M, 2023 revenue $92M

Question: What was the growth rate?

Calc: ($92M - $80M) / $80M = 15%

Insight: "Revenue grew 15% year-over-year, which is above the industry average of 8%."

Example 2: Cost Breakdown Pie

Chart shows: Labor 45%, Materials 30%, Overhead 15%, Other 10%

Question: If we reduce labor costs by 10%, what's the total cost impact?

Calc: 45% × 10% = 4.5% total cost reduction

Insight: "A 10% labor efficiency improvement would reduce total costs by 4.5%."

Example 3: Market Share Stacked Bar

2022: Company A 40%, B 35%, Others 25%
2023: Company A 35%, B 40%, Others 25%

Question: What happened to competitive dynamics?

Insight: "Company B overtook Company A, gaining 5 share points. Others remained stable, so B's gain came directly from A's loss."

Common Mistakes

  1. Zooming into noise — Small variations might not be meaningful
  2. Forgetting to normalize — Compare percentages, not absolutes when bases differ
  3. Ignoring units — Millions vs thousands vs percentage points
  4. Missing the big picture — Don't just report numbers; explain significance
  5. Not sanity checking — Does your answer make logical sense?

Where to Practice

Data interpretation combines reading skills with math. Build both:


Charts tell stories. Your job is to read them correctly and communicate the narrative.

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