Summary
The Attempts page provides leaders with insight into all assessment-based content attempts made by users within their selected audience(s).
It highlights pass/fail performance, incomplete attempts, average scores, and which content items may require review due to repeated failures or low performance. This helps leaders understand assessment effectiveness, user readiness, and where content or question design may need improvement.
Visuals have a maximum lag of 6 hours, typically significantly less.
Filters
Use the filters at the top of the page to refine the dataset:
Structure Name / Audience Name / Position Title / Manager Name — isolate assessment activity for specific teams, roles, or reporting lines
Thrive Status (active, new) — suspended users are excluded by default
Thrive Role (learner, learneradmin) — platform super administrators are excluded
Content Title / Content Type / Content Tag — drill into specific assessment items or categories
Additional Field Key (Custom Field) — choose segmentation fields such as Region, Department, or Brand
Additional Field Value — narrow down to a specific value
Attempt Date filters — adjust the timeframe for which attempts are displayed
These filters help you understand assessment performance for the right segment of your organisation.
Visuals
What You Need to Know
This panel provides key details about how the Attempts dataset behaves:
This page focuses on assessment-based attempts, showing pass, fail, and incomplete outcomes
The dataset only includes attempts with a valid content ID and registration ID
Attempt performance is calculated based on the last attempt within the chosen time range
Export frequency should be limited for performance
Top Tips
Useful suggestions for getting more value from this dashboard:
Use Attempts by Content Title & Attempt Status to identify which assessments have the highest fail or incomplete rates
High failure rates may indicate outdated or unclear content
Once a problematic content item is identified, use
Attempts by question description and outcome (via Explore)
to narrow down which question(s) may need rephrasing
Use monthly average score trends to understand seasonal patterns or training periods that influence performance
Passed Attempts
Shows the % of all attempts (passed + failed) that ended in a pass.
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Failed Attempts
Shows the % of all attempts (passed + failed) that resulted in a fail.
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Average Score
Displays the average % score across all pass and fail attempts.
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Incomplete Attempts
Shows the % of attempts that were incomplete (did not reach a full submission).
Helpful for spotting:
users exiting assessments early
technical issues
assessments that may be too long
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Monthly Average Score
A line graph showing the average score achieved for all attempts in each month.
How to use this visual:
Identify months where average scores dip — may indicate onboarding periods or challenging content
Compare monthly patterns to training cycles
Spot unusually high or low performance trends
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Attempts by Content Title & Attempt Status
A segmented bar chart showing the proportion of:
🟢 Passed
🔴 Failed
🟡 Incomplete
for each assessment-based content item.
How to use this visual:
See which content items have unusually high failure or incomplete rates
Identify which assessments may need review or rewriting
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Attempts Detail
A detailed table listing every assessment attempt, including:
Content Title
Manager
User Name
Last Attempted
Attempt Success Status (Passed / Failed)
Attempt Completion Status (Complete / Incomplete)
Score (%)
# Passed Attempts
# Failed Attempts
# Attempts
How to use this visual:
Sort by Last Attempted to see the most recent assessment activity
Sort by Score to identify low performers
Identify users who have repeatedly failed the same content
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