<aside> 🗒️ Measuring success and setting realistic goals to strive for will be key to making sure that the implementation goes as smoothly as possible.

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Gauging course quality

<aside> 🗒️ We recommend using the KPIs presented in "Evaluation of Teaching Performance of English Courses by Applying Data Envelopment Analysis and Two-phase Segmentation" to measure success of the text-based ELL course. Envelopment Analysis and Two-phase Segmentation

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• Students’ satisfaction about their grades: students fill the questionnaire before the end of the semester; therefore this indicator should not represent students’ immediate response to one particular grade, but a general appreciation of the fairness of grading during the whole semester.
• Students’ learning performance: it indicates students’ self-recognition of learning performance after receiving a period of language training. This indicator relates teacher quality to student achievement. [9]

Continuous feedback survey

Continuously, occasional SMS-based surveys will be sent to select groups of students to hear responses regarding...

• Overall course satisfaction
• Likelihood of them recommending product to a friend
• Academic performance before & after text-based courses

Given those metrics, some KPIs are...

• Average of 85% course satisfaction
• 60% likelihood of them recommending the product to a friend
• 20% jump in academic performance following the english & critical thinking course

By 2022

Using the Arist platform, the UN will be able to track success of the courses through classroom analytics. By 2022, success would look like...

• 3000 enrollments
• 2000 course completions
• 500 dropouts
• 500 deactivations

By 2026

Given that...

• Average user growth of courses is 50% YoY — reasonable considering this case study
• Social media advertising expenses decline 10% per year

then by those reasonable assumptions, we should steadily arrive at these KPIs for 2026...

• 15,180 enrollments
• 13,662 course completions