Version of 02 October 2026
This document explains, in simple words, how each figure shown on the DSF website is calculated.
All figures come from our learning platform, where learners follow our training, take tests and answer feedback surveys. They cover all our programmes and countries together, and are updated regularly.
The figures at a glance
| # | Figure | What it tells you |
|---|---|---|
| 1 | Registered on the platform | How many learners are registered on our platform today |
| 2 | Score improvement in digital skills | How much learners’ test scores grow during our digital skills trainings |
| 3 | Satisfaction rate | How satisfied learners are with our trainings |
| 4 | Recommendation rate | How likely learners are to recommend our trainings |
| 5 | Male and female certified learners | The share of men and women among learners who earned a certificate |
How each figure is calculated
| 1 | Learners on the Platform | |
| What it tells you | The number of learners who have an account on our learning platform today, across all our programmes and countries. | |
| How we calculate it | We count every learner account once, whether or not the learner has started a course yet. | |
| Who is included | All registered learners, including accounts that are temporarily suspended. Accounts that have been deleted are counted also. | |
| Example | Illustrative figures: 1,000 learners registered, and 20 of them later deleted their account: the figure is 1020. | |
| 2 | Score Improvement in Digital Skills | |
| What it tells you | How much learners’ test scores grow between the start and the end of our digital skills training. | |
| How we calculate it | Learners take a test before starting and a test at the end. We turn every grade into a score out of 100, then compare the average score at the start with the average score at the end. | |
| Formula | Improvement = (average end score − average start score) ÷ average start score × 100 | |
| Who is included | Learners who took both the start and the end test of our digital skills training: Digital Competency Passport for the Workplace, the training with the highest number of participants. Learners who took only one of the two tests are not included, so we always compare the same people before and after. | |
| Example | Illustrative figures: 140 learners took both tests. Their average score was 49 out of 100 at the start and 86 at the end: (86 − 49) ÷ 49 × 100 = +74%. | |
Note: The result is a percentage of the starting level, not a number of points: +74% means scores are 74% higher than at the start.
| 3 | Satisfaction Rate | |
| What it tells you | How satisfied learners are with our trainings, based on their answers to our feedback surveys. | |
| Positive answer | An answer at the top of the rating scale, for example 4 or 5 on a scale from 1 to 5. | |
| How we calculate it | We look at each learner’s answers to see how positive they were, then we take the average of all learners. Each learner counts as one person for each training they rated, whether they filled in one survey or ten. | |
| Who is included | Every learner who answered at least one satisfaction question. | |
| Example | Illustrative figures: 10 learners rated a training and 8 of them gave a positive answer. The satisfaction rate is 80%. | |
| 4 | Recommendation Rate | |
| What it tells you | How likely learners are to recommend all of our training to others. | |
| Positive answer | An answer at the top of the rating scale, for example 8, 9 or 10 on a scale from 0 to 10. | |
| How we calculate it | The same way as the satisfaction rate, using questions such as “How likely are you to recommend this course to a colleague?”. | |
| Who is included | Every learner who answered at least one recommendation question. | |
| Example | Illustrative figures: 20 learners answered and 17 of them gave a positive answer. The recommendation rate is 85%. | |
| 5 | Male and Female Certified Learners | |
| What it tells you | The share of women and the share of men among learners who earned at least one certificate. | |
| How we calculate it | We take all learners on the platform who hold at least one certificate, and read the gender recorded in their profile. Each learner counts once, however many certificates they hold. | |
| Formula | Share of women = certified women ÷ certified learners with a recorded gender × 100 | |
| Who is included | Certified learners whose gender is recorded in their profile. | |
| Example | Illustrative figures: 1,000 certified learners have a recorded gender, of whom 560 are women and 440 men: 56% women and 44% men. | |