Retry Logic: Limit attempts or allow retries with new logic
Control how learners re-engage with questions — boosting confidence, retention, and real-world readiness.
What It Is
Retry Logic gives you control over how many times a learner can attempt a question or activity—and what happens after each attempt. You can limit the number of tries, allow unlimited retries, provide evolving hints or new questions, and customize feedback paths. Unlike basic "Try Again" buttons, this feature makes every retry purposeful by adapting based on performance, attempt number, or predefined logic.
It's not just about giving another chance — it's about making each chance count.
When to Use It
- In certification prep, to encourage mastery through repeated practice
- For compliance exams, to limit attempts before requiring manager review
- In skills-based training, to offer adaptive feedback after each incorrect response
- For new hires, to build confidence by allowing safe, guided retries
- In scenario simulations, to show the impact of repeated wrong decisions in a safe environment
Why It Works
- Promotes deep learning by allowing failure as part of the learning cycle
- Increases retention through retrieval practice and spaced repetition
- Reduces frustration by offering scaffolded support or alternative approaches
- Improves completion rates by preventing early dropout due to errors
- Boosts ROI with fewer support requests and smarter self-correction mechanisms
Impact Insight
Imagine your employees failing a tough question, learning from it instantly, and trying again with more confidence—instead of dropping out or guessing their way through.
Examples in Action
- Healthcare: Nurses can retry dosage calculation questions with new numbers after each attempt
- Finance: Loan officers are allowed three attempts at identifying compliance violations before being redirected to a refresher
- Manufacturing: Machine operators get scenario-based retries with increasing complexity to simulate real-life stress
- Retail: Customer service staff receive adaptive tips after each failed attempt in a conversation simulation
- Education: Teachers can reattempt classroom strategy choices with evolving feedback and branching outcomes
Customization Options
- Retry Limits: Set by number of attempts, performance thresholds, or time intervals
- Feedback Logic: Static, adaptive, escalating hints, or redirection to review content
- Retry Content: Same question, randomized variables, or new alternatives
- Visual Elements: Animated feedback, attempt counters, progress indicators
- Integration Options: Full support for SCORM and xAPI to track retries and outcomes
