1. The NPS is 39. However, I’m not sure exactly how to interpret it. Broadly speaking, scores above 0 are considered good, but it depends a lot on the industry and I don’t have benchmarks within the coaching industry for comparison. It would be really interesting to see how this compares with other EA orgs, e.g. EAG.
2. The number of hours added is an effect size – standardized effect sizes are usually used when the mean difference is hard to interpret. Since I only have the estimated change (and not the baseline value), I can’t calculate a cohen’s d right now. For the fun of it, I made up baseline values for how many hours people work a month to see what it would be. If I assume each person worked a randomly chosen value between 100 and 200 hours per month before coaching (using randbetween in excel), d = .5. If I assume each person worked a randomly chosen value between 140 and 180 hours per month, d = .9.
3. Sadly, I don’t have data from the 7% clients who didn’t complete four calls. A few dropped out because of physical or mental health reasons. The few more said productivity coaching wasn’t what they needed at the time after all. I’m assuming the rest didn’t think it was worth continuing for one reason or another.
4. I’m working on it! I recently did a four-week writing challenge to kick start that process – you can view the posts here.
1. The NPS is 39. However, I’m not sure exactly how to interpret it. Broadly speaking, scores above 0 are considered good, but it depends a lot on the industry and I don’t have benchmarks within the coaching industry for comparison. It would be really interesting to see how this compares with other EA orgs, e.g. EAG.
2. The number of hours added is an effect size – standardized effect sizes are usually used when the mean difference is hard to interpret. Since I only have the estimated change (and not the baseline value), I can’t calculate a cohen’s d right now. For the fun of it, I made up baseline values for how many hours people work a month to see what it would be. If I assume each person worked a randomly chosen value between 100 and 200 hours per month before coaching (using randbetween in excel), d = .5. If I assume each person worked a randomly chosen value between 140 and 180 hours per month, d = .9.
3. Sadly, I don’t have data from the 7% clients who didn’t complete four calls. A few dropped out because of physical or mental health reasons. The few more said productivity coaching wasn’t what they needed at the time after all. I’m assuming the rest didn’t think it was worth continuing for one reason or another.
4. I’m working on it! I recently did a four-week writing challenge to kick start that process – you can view the posts here.