

As a result, a credential is only valuable as the surrounding social and institutional infrastructure can deem it to be. Only exceptional fields and circumstances value skills over diplomas, with the consequences we’ve all learned.
The advent of less formal learning approaches only escalates the issue in the cannabis industry for training (ex. Budtender Certifications). There are enough problems as it is making sure a degree earned over years is valid. We must figure out how to vouch for learning that took place in a matter of hours.
On the flip side, the current “cannabis training credential proliferation” may finally make everyone turn towards the North Star it should have in the first place: evidence-based learning.
No Cannabis Industry Microlearning, Only Micro-Credentials


Endless discussions over an equally endless number of standards. Still, in the several scenarios where credentials are an unquestioned part of the cannabis industry trade, solutions for the micro-credential validation problem are sorely missed.
Return of Cannabis Industry Training ROI (never been before)


Perhaps, if the key driver towards a “culture of ROI,” as Udemy argues, is HR departments everywhere in the cannabis industry, noble organizations would sacrifice and assume the heavy toll of promoting an evidence-based approach to learning procurement.
Here are some educated guesses as to what cannabis industry HR teams could do:
- Run #7excludeGlossary econometric efforts that can discriminate bottom-line effects from specific learning initiatives to an acceptable level of certainty. Perhaps the most obvious choice is one riddled with technical considerations, results will take a long time to reveal, and would make it almost impossible to pinpoint pedagogical successes and failures.
- Consult with people who’ve been right before. Either reach out to experts or survey a bunch to gather “wisdom of the crowds” numbers.
- Build a learning-to-revenue simulator where you can play with learning activities, and approaches to virtual versions of the employees and watch them influence theoretical profits. It could even be a Sims Mod!
- Collect data, build benchmarks, quantify the sequence of outcomes, control for network effects, and iterate and refine. While you are at it, add some Machine Learning, it could come in handy.
Let us know what you think.



