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Why typography drives readability in Figma - Formula Trace Breakdown

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Concept Flow
[Select text sample] → [Apply font size] → [Apply line height] → [Apply font weight] → [Calculate readability score] → [Aggregate scores]
This flow shows how different typography settings are applied to text samples and how their readability scores are calculated and averaged.
Formula
AVERAGE(E2:E4)

This formula calculates the average readability score from the scores in cells E2, E3, and E4.

Step-by-Step Trace
StepOperationExpressionResultExplanation
1Sum readability scores75 + 90 + 60225Add readability scores from E2, E3, and E4.
2Divide sum by count225 / 375Divide total by number of scores to get average.
The final average readability score is 75, representing the overall readability based on typography settings.
Variable Tracker
VariableValue BeforeValue AfterDescription
SumN/A225Sum of readability scores from E2, E3, and E4.
CountN/A3Number of readability scores considered.
AverageN/A75Calculated average readability score.
Key Moments
Why do we sum the readability scores first?
Why divide by 3 in the formula?
What does the average readability score tell us?
Sheet Trace Quiz - 3 Questions
Test your understanding
Which cells are used to calculate the average readability?
AE2, E3, E4
BA2, B3, C4
CB2, C3, D4
DA1, B1, C1
Key Result
Typography affects readability by changing font size, line height, and weight, which influence how easily text can be read. Calculating average readability scores helps quantify this effect.
Transcript
We start with text samples that have different typography settings. Each sample has a readability score based on font size, line height, and weight. We sum these scores and then divide by the number of samples to find the average readability. This average helps us understand how typography choices impact overall readability.

Practice

(1/5)
1. Why is typography important in Business Intelligence dashboards?
easy
A. It makes text easier to read and understand.
B. It adds more colors to the dashboard.
C. It increases the number of charts shown.
D. It reduces the amount of data needed.

Solution

  1. Step 1: Understand typography's role

    Typography focuses on how text looks and feels, affecting readability.
  2. Step 2: Connect typography to BI dashboards

    Clear text helps users quickly grasp information on dashboards.
  3. Final Answer:

    It makes text easier to read and understand. -> Option A
  4. Quick Check:

    Typography improves readability = C [OK]
Hint: Typography improves text clarity and user understanding [OK]
Common Mistakes:
  • Confusing typography with adding colors
  • Thinking typography changes data amount
  • Believing typography increases charts
2. Which of the following is a correct typography practice in Figma for BI reports?
easy
A. Choose fonts that are easy to read at different sizes.
B. Use very small font sizes to fit more text.
C. Use multiple font styles in every sentence.
D. Avoid spacing between lines to save space.

Solution

  1. Step 1: Identify good font choices

    Fonts should be clear and readable at various sizes for BI reports.
  2. Step 2: Evaluate options

    Using easy-to-read fonts improves clarity; very small fonts or no spacing reduce readability.
  3. Final Answer:

    Choose fonts that are easy to read at different sizes. -> Option A
  4. Quick Check:

    Readable fonts = A [OK]
Hint: Pick fonts clear at all sizes for readability [OK]
Common Mistakes:
  • Using tiny fonts that are hard to read
  • Mixing too many font styles
  • Skipping line spacing
3. In a Figma BI dashboard, if the font size is set too small and the color contrast is low, what is the likely result?
medium
A. The dashboard will load faster due to smaller text.
B. Users will find the text hard to read and may miss key insights.
C. More data points will be visible on the screen.
D. The dashboard will automatically adjust font sizes.

Solution

  1. Step 1: Analyze font size and color contrast effects

    Small fonts and low contrast reduce text readability.
  2. Step 2: Understand user impact

    Hard-to-read text causes users to miss important information.
  3. Final Answer:

    Users will find the text hard to read and may miss key insights. -> Option B
  4. Quick Check:

    Small font + low contrast = poor readability = A [OK]
Hint: Small font + low contrast = hard to read [OK]
Common Mistakes:
  • Thinking small fonts speed up loading
  • Assuming more data shows automatically
  • Believing dashboard auto-adjusts fonts
4. You notice your BI dashboard text is hard to read. Which Figma typography setting is most likely causing this issue?
medium
A. Font size set to 18px with black text on light yellow background.
B. Font size set to 16px with black text on white background.
C. Font size set to 14px with dark blue text on white background.
D. Font size set to 8px with light gray text on white background.

Solution

  1. Step 1: Identify poor typography settings

    Very small font size and low contrast colors reduce readability.
  2. Step 2: Compare options

    Font size set to 8px with light gray text on white background has 8px font and light gray on white, making text hard to see.
  3. Final Answer:

    Font size set to 8px with light gray text on white background. -> Option D
  4. Quick Check:

    Small font + low contrast = readability issue = D [OK]
Hint: Check font size and contrast for readability issues [OK]
Common Mistakes:
  • Ignoring font size too small
  • Overlooking color contrast problems
  • Assuming all light colors are readable
5. You are designing a BI dashboard in Figma for users with visual impairments. Which typography approach best improves readability?
hard
A. Use small fonts with multiple colors and tight line spacing.
B. Use cursive fonts with low contrast colors to reduce glare.
C. Use large, high-contrast fonts with clear spacing and avoid decorative fonts.
D. Use many font styles and sizes to highlight all data points.

Solution

  1. Step 1: Consider needs of visually impaired users

    They need large, clear fonts with strong contrast and good spacing.
  2. Step 2: Evaluate typography options

    Use large, high-contrast fonts with clear spacing and avoid decorative fonts uses large, high-contrast fonts and clear spacing, improving readability.
  3. Final Answer:

    Use large, high-contrast fonts with clear spacing and avoid decorative fonts. -> Option C
  4. Quick Check:

    Large, clear fonts + contrast = best readability = B [OK]
Hint: Large, clear fonts with contrast help all users read better [OK]
Common Mistakes:
  • Using small or decorative fonts
  • Choosing low contrast colors
  • Overloading with many font styles