
š§ After about an hour, I turned a long-form Articulate Rise course into a modern microlearning experience ā using 7Taps Copilot AI.
Hereās the core idea:
Youāve already spent the time to create traditional eLearning. Now use that same content to add a microlearning layer that reinforces the message ā with spaced repetition and a format that feels more like social media than school.
Hereās how I did it:
- Exported Rise modules as PDFs
- Used ChatGPT to extract the core (skills, goals, challenges, audience) from those PDFs and screenshots of the 7Taps CoPilot AI creation tool.
- Dropped the answers into 7Taps Copilot AI
- Added my original PDFs and videos as references into 7Taps Copilot AI
- Auto-generated 3 mobile-first modules focused on key takeaways (took a coffee break)
- Scheduled each module to be shared by email using 7Tapsā built-in spaced learning path feature
⨠The result:
Short, interactive bursts of learning ā with quizzes, polls, ratings, and feedback ā delivered over time in a way that feels light, modern, and memorable. Not replacing the training, but reinforcing it with a hybrid of marketing and active recall.
ā±ļø Total build time? About 1 hour (yes, including the coffee break while Copilot did its thing).
š” And on top of all this?
7Taps captures all the data youād expect ā completions, interactions, and quiz scores ā plus freeform learner feedback, AKA unstructured data just waiting to be analyzed by (you guessed it) more AI tools.
š More on that in a future post.
š§ The takeaway:
Adding a microlearning layer to your existing training is fast, cheap, and measurable. It opens a feedback loop for iteration, and it’s EZ-PZ to do.
Here is a link to the CustomGPT I created to help me get the best possible information into 7taps Microlearning Copilot. It’s a thought partner meant to assist the human, but it seems to produce better results than an overworked and tired learning developer. https://chatgpt.com/g/g-685ebbb5d1248191ae80e8ad847f5450-7taps-microlearning-builder
Note, it does require a paid version of #ChatGPT to access.