Tables in your reports provide a detailed, data-driven view of results across subjects, competencies, and questions.
While bar graphs give a visual summary, tables allow for deeper analysis by presenting the underlying statistical data.
What Tables Show
Tables typically include:
- Average (Mean) scores
- Median scores
- Score ranges (lowest to highest)
- Standard deviation (variation in responses)
- Results broken down by responder category
These metrics help you understand not just what the scores are, but how consistent and reliable they are.
Key Statistical Measures
Average (Mean)
The average is the most commonly used score.
- It represents the overall rating for a question or competency
- Calculated by combining all responses and dividing by the number of responses
Use this to understand general performance.
Median
The median is the middle value when all scores are ordered.
- Less affected by extreme high or low scores
- Provides a more stable view when results are uneven
Useful when responses vary widely.
Range (Low to High)
The range shows the lowest and highest scores given.
- Highlights how spread out the responses are
- Indicates whether all responders agree or disagree
A wide range suggests differing opinions.
Standard Deviation
Standard deviation measures how much responses vary from the average.
- Low standard deviation = responses are consistent
- High standard deviation = responses are spread out
This is one of the most important—but often misunderstood—metrics.
Why Standard Deviation Matters
Two results can have the same average but tell very different stories.
For example:
- Low variation → Most responders agree on the score
- High variation → Responders have very different experiences
This helps answer:
- Is this behavior consistently demonstrated?
- Or does it vary depending on the situation or audience?
How to Interpret Table Data
When reviewing tables, focus on:
- Average score → overall performance
- Standard deviation → consistency of behavior
- Range → spread of opinions
- Median → stability of the result
The most useful insights come from combining these measures, not looking at them in isolation.
Comparing Across Categories
Tables also allow you to compare results between responder groups.
Look for:
- Differences between Manager, Peers, and Direct Reports
- Patterns across categories
- Areas where perceptions are aligned or inconsistent
This helps identify where behavior may differ depending on the relationship.
Common Interpretation Patterns
Strong and Consistent
- High average
- Low standard deviation
Indicates a clear strength.
Strong but Inconsistent
- High average
- High standard deviation
Indicates a strength that is not consistently demonstrated.
Low and Consistent
- Low average
- Low standard deviation
Indicates a clear development area.
Mixed Feedback
- Moderate average
- High standard deviation
Indicates differing experiences or perceptions.
Tips for Using Tables
- Use tables when you need deeper analysis beyond charts
- Focus on patterns, not individual data points
- Pay close attention to standard deviation
- Combine table insights with comments for context
Important Notes
- Tables reflect aggregated data, not individual responses
- Scores represent perceptions, not objective measures
- High variation is not necessarily negative—it indicates inconsistency
