Meetup Presentation - 3_26_14-3
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Building a data-driven organization requires defining standard metrics to measure performance, making data easily accessible to employees, and empowering people with data to make decisions. A data-driven organization uses feedback from students on courses to identify attributes related to positive or negative feedback, then adjusts standards, instructor guidelines, and provides feedback in a constant feedback loop to improve course quality.
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Meetup Presentation - 3_26_14-3
- 1. Building a data-driven organization Ruben Kogel
- 2. 190 + 25THOUSAND published courses 14 THOUSAND published instructors 6 MILLION students Source: Udemy countries help anyone learn anything
- 3. How do students learn? What makes a great course? What courses should we have? How should we promote our courses? How are students making their decisions? Lots of Data Challenges
- 4. Define standard metrics Make data easily accessible Empower and incentivize people Keys to building a data-driven organization
- 5. course quality is a constant feedback loop Measure student feedback course attributes Identify which course attributes are related to positive / negative student feedback? Adjust standards for publication guidelines for instructors feedback pre/post-publication
- 6. THANK YOU!
Editor's Notes
- #3: Udemy is the leading marketplace for online learning and teaching with 5M students, 20,000 courses, 10,000 instructors Operates on the lifelong learning segment - different from K-12, higher ed. Lifelong learning = Just in Case & Just in Time content agnostic - offers courses in app development, photography, negotiation etc.
- #4: analysis = mix quantitative & qualitative: 1) curate tags, 2) variable selection, 3) curate results non-linear effects (e.g. audio quality) - utility vs. delight factors correlation vs. causation what to do next??
- #5: define standard metrics: agreed-upon metrics that drive business decisions; setup data collection if necessary single source of truth; accessible; summary tables; dumb it down give access to everyone; train to fish not to ask for data; setup performance goals tied to KPIs
- #6: Quality is a constant loop Does not stop at establishing standards Big Q: what do you base quality on??