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Assessment Scoring

Assessment scores are calculated from respondent answers and displayed using one of two scoring methods — Averaged (the default) or Summed. Understanding how each method works helps you design assessments that communicate results clearly.

How Scoring Works

When respondents complete an assessment:

  1. Question responses are scored based on selected answers or numeric values
  2. Category scores are calculated from all questions in that category
  3. Overall assessment score is computed from all category scores
  4. Results are displayed using the configured scoring method

Scoring Method

The Scoring Method field is in the Assessment Details section of the library editor.

Scoring Method dropdown showing "Averaging" selected

Method Description
Averaging (default) Scores are averaged across all questions, keeping results on a consistent scale regardless of assessment length
Summed Scores are totaled across all questions, so longer assessments yield higher maximum scores

Averaged Scoring (Default)

With Averaging, every question's score contributes equally, and the final result stays within the same range regardless of how many questions are in the assessment.

$$\text{Averaged Score} = \frac{\text{Sum of All Question Scores}}{\text{Number of Questions}}$$

Key Characteristics

  • Consistent scale: Score range stays the same no matter how many questions the assessment has
  • Easy comparison: Assessments with different lengths can be compared directly
  • Intuitive: A score of 4.2 means the same thing across all assessments

Example: Averaged Scoring

Assessment with 10 questions, each worth 0–5 points

Item Value
Total score earned 35 points
Number of questions 10
Averaged score 35 ÷ 10 = 3.5

Comparing two assessments of different lengths:

Assessment Score Earned Questions Averaged Score
Assessment A 20 pts 5 questions 4.0
Assessment B 40 pts 10 questions 4.0

Both show 4.0 — directly comparable despite different lengths.


Summed Scoring

With Summed scoring, every question's score is added together. The maximum possible score scales with the number of questions.

$$\text{Summed Score} = \sum \text{All Question Scores}$$

Key Characteristics

  • Raw total: Shows the actual accumulated points across all questions
  • Length-dependent: Maximum score varies based on number of questions
  • Detailed analysis: Useful when absolute point totals are meaningful

Example: Summed Scoring

Assessment with 10 questions, each worth 0–5 points

Item Value
Total possible score 50 points
Score earned 35 points
Summed score 35 out of 50

Comparing two assessments of different lengths:

Assessment Score Earned Max Possible Summed Score
Assessment A 20 pts 25 pts 20/25
Assessment B 40 pts 50 pts 40/50

The raw totals differ — you must account for different maximums when comparing.


Choosing the Right Method

Use Case Recommended Method
Comparing across assessments of different lengths Averaged
Standard benchmarking or industry comparisons Averaged
Point-accumulation models (longer = more points) Summed
When absolute totals matter to your analysis Summed

When in doubt, use Averaging

Averaging is the default for good reason — it keeps scores consistent and comparable regardless of how you grow or change your assessment over time.


Scoring Section Feedback

The Scoring Section Feedback accordion in Assessment Details lets you define named score ranges (sections) that appear on the respondent's results page with tailored feedback.

Scoring Section Feedback expanded showing At Risk, Could Improve, and Optimal sections

Each section defines:

  • Section name (e.g., At Risk, Could Improve, Optimal)
  • Score range (Min Score – Max Score)
  • Color theme for the results display
  • Suggestions (strengths, root causes, solutions, recommended actions)

Sync Scoring

SYNC SCORING automatically recalculates and evenly distributes the score range thresholds across all of your scoring sections based on the current assessment configuration.

SYNC SCORING button above the expanded scoring sections list

Use it whenever you:

  • Add or remove questions that change the total possible score
  • Add or remove scoring sections
  • Change the Scoring Method between Averaged and Summed
  • Want to reset thresholds to an even distribution after manual edits

Tip

Always click SYNC SCORING after making structural changes to your assessment (adding categories, questions, or sections) to keep thresholds accurate.


Editing a Scoring Section

Click the pencil icon (✏) on any scoring section row to open the section editor.

Edit Scoring Section modal showing Section Title, Min/Max Score, color fields, and a live preview

The editor includes:

Field Description
Section Title Name displayed on the results page (e.g., "At Risk")
Min Score Lower bound of this score range
Max Score Upper bound of this score range
Primary Background Background color for the section badge
Secondary Background Background color for score detail areas
Primary Font Color Text color on the badge
Secondary Font Color Text color on score detail areas
Preview Live visualization showing how the section will appear to respondents

Use Quick Fill Defaults at the top of the modal to instantly apply the standard At Risk / Could Improve / Optimal color presets.


How Scores Are Calculated

Step 1: Question Scoring

Each question is scored based on the respondent's answer:

Multiple Choice & Multiple Select - Selected option's score value is assigned - Example: Select "Strongly Agree" (score=5) on a Likert question

Numeric Questions - The numeric value entered is the score - Example: Enter "85" for "What percent of orders are on-time?"

Numeric Range Questions - The numeric value is matched to a range, and that range's score is assigned - Example: Enter "10" employees → matched to "1-20" range → score of 2

Text Questions - Text questions are not scored (score = 0) - Used for qualitative feedback only

Step 2: Category Scoring

All question scores within a category are summed:

$$\text{Category Score} = \sum \text{All Question Scores in Category}$$

Step 3: Overall Assessment Score

Depending on the Scoring Method:

Averaged:

$$\text{Overall Score} = \frac{\sum \text{All Category Scores}}{\text{Total Number of Scorable Questions}}$$

Summed:

$$\text{Overall Score} = \sum \text{All Category Scores}$$


Normalized Scoring (Percentile Ranges)

Normalized scoring converts raw assessment scores into percentiles, displaying results as a percentage of the available score range (0–100%). This approach makes scores intuitive and comparable, regardless of the underlying assessment structure.

What is Normalized Scoring?

Normalized scoring expresses a respondent's score as a percentage of the maximum possible score:

$$\text{Normalized Score (\%)} = \frac{\text{Actual Score} - \text{Min Possible Score}}{\text{Max Possible Score} - \text{Min Possible Score}} \times 100$$

This converts any score into a 0–100 percentile range, making interpretation consistent across all assessments.

Example: Normalized Score Calculation

Scenario: Assessment with min score 0, max score 50, respondent scores 37.5

$$\text{Normalized Score} = \frac{37.5 - 0}{50 - 0} \times 100 = \frac{37.5}{50} \times 100 = 75\%$$

A respondent who scores 37.5 out of 50 gets a 75% normalized score — placing them in the upper performance tier.

Percentile Score Ranges

Normalized scores are typically divided into three to five performance tiers. The standard configuration uses three tiers:

Scoring Percentile Ranges showing At Risk (0-37.5%), Could Improve (37.5-75%), and Optimal (75-100%)

Tier Range Interpretation
At Risk 0–37.5% Areas requiring attention and improvement
Could Improve 37.5–75% Significant enhancements needed for growth
Optimal 75–100% Competence and meeting standards

How Normalized Scores Map to Scoring Sections

When you define Scoring Section Feedback in your assessment, the platform automatically maps respondent scores to these percentile ranges:

  1. Raw score is calculated from respondent answers (using your Averaged or Summed method)
  2. Score is normalized to a 0–100 percentile using the min/max score range
  3. Percentile is matched to a scoring section tier (At Risk, Could Improve, Optimal, etc.)
  4. Feedback is displayed with the corresponding tier name, color, and suggestions

Example: End-to-End Scoring Flow

Step Calculation Result
1. Raw score Questions scored and summed 34 out of 50 points
2. Normalize (34 - 0) / (50 - 0) × 100 68% percentile
3. Tier match 68% falls in 37.5–75% range Matches "Could Improve" section
4. Display Show "Could Improve" feedback with yellow color Respondent sees recommendations for growth

Key Advantages of Normalized Scoring

  • Consistent interpretation: A 75% score means the same thing across all assessments
  • Easy comparison: Compare respondents or assessments even with different lengths
  • Intuitive results: Percentages are universally understood (0% = lowest, 100% = highest)
  • Flexible tier definitions: You can customize tier ranges and names to match your assessment goals
  • Color-coded feedback: Each tier has its own color and feedback content for visual clarity

Customizing Percentile Ranges

You can customize the tier ranges and names to fit your assessment. Common alternatives to the standard three-tier system include:

Four-tier system: - Below Expectations: 0–25% - Developing: 25–50% - Proficient: 50–75% - Advanced: 75–100%

Five-tier system: - Critical: 0–20% - Below Target: 20–40% - Target: 40–60% - Above Target: 60–80% - Excellent: 80–100%

To customize ranges, edit each Scoring Section in Assessment Details and set the Min Score and Max Score to define where each tier begins and ends.

Common Scenarios

Scenario 1: Different Assessment Lengths, Same Score Meaning

Assessment Score Earned Max Possible Normalized Tier
Quick Survey (5 questions) 3.75 5 75% Optimal
Full Assessment (20 questions) 15 20 75% Optimal

Both respondents show 75% — Optimal performance — even though the raw scores differ.

Scenario 2: Tracking Progress Over Time

A respondent completes an assessment and scores 60% (Could Improve). After training, they retake the assessment and score 82% (Optimal). The normalized percentiles make progress immediately clear.