Shana Prince Learning
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Microlearning Example

How to Calculate Simple Interest

Based on Real Work Assignment
How to Calculate Simple Interest thumbnail

About this project

Situation

During my time in the auto finance industry, call center representatives needed to understand and explain how simple interest affects the life of a customer’s loan. Customer complaints about loan maturity dates and amounts due were rising, and the root cause hadn’t been identified.

Task

Find what was driving the complaints and close the gap so representatives could explain loan maturity accurately and confidently.

Action

I analyzed customer complaint ticket data and found a direct link between how representatives had been trained to describe the loan maturity process and how the process actually worked. That mismatch was adding confusion and frustration for customers who were already concerned.

I created training that accurately outlined loan maturity timelines and made the math clear and easy to apply in live conversations. This mobile-first 7taps microlearning is a recreation of that work: it breaks the simple interest formula into plain-language steps, walks through real-world examples, and gives learners a chance to apply the skill in just a few minutes.

Result

Representatives could accurately calculate and confidently explain simple interest, maturity timelines, and amounts due. Customer conversations improved, and complaint tickets related to loan maturity dropped by 20%.

Takeaway

Microlearning is ideal for one focused skill people need to recall quickly on the job. The original project also included scripted scenario videos with branching questions.

With today’s tools, I would build on that foundation with AI conversation simulations using platforms like Tenor, HeyGen, Synthesia, or Powtoon. Representatives could practice explaining interest to realistic customers, including frustrated ones, before ever taking a live call.

That kind of deliberate practice in a low-risk setting builds self-efficacy, the confidence that comes from having done it successfully before. Each conversation also works as retrieval practice, pulling the formula and the explanation from memory until both feel natural. And because the practice closely mirrors the real job, the skills are far more likely to transfer to actual customer calls, which is where the behavior change matters most.

Tools used

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