Somewhat related comment: next time, I think it could be better to ask “What percentage of the value of the fellowship came from these different components?”* instead of “What do you think were the most valuable parts of the programme?”. This would give a bit more fine-grained data, which could be really important.
E.g. if it’s true that most of the value of ERIs comes from networking, this would suggest that people who want to scale ERIs should do pretty different things (e.g. lots of retreats optimised for networking).
*and give them several buckets to select from, e.g. <3%, 3-10%, 10-25%, etc.
Yes, letting them specifically set a distribution, especially as this was implicitly done anyways in the data analysis, would have been better. We’d want to normalise this somehow, either by trusting and/or checking that it’s a plausible distribution (i.e. sums to 1), or by just letting them rate things on a scale of 1-10 and then getting an implied “distribution” from that.
Somewhat related comment: next time, I think it could be better to ask “What percentage of the value of the fellowship came from these different components?”* instead of “What do you think were the most valuable parts of the programme?”. This would give a bit more fine-grained data, which could be really important.
E.g. if it’s true that most of the value of ERIs comes from networking, this would suggest that people who want to scale ERIs should do pretty different things (e.g. lots of retreats optimised for networking).
*and give them several buckets to select from, e.g. <3%, 3-10%, 10-25%, etc.
Yes, letting them specifically set a distribution, especially as this was implicitly done anyways in the data analysis, would have been better. We’d want to normalise this somehow, either by trusting and/or checking that it’s a plausible distribution (i.e. sums to 1), or by just letting them rate things on a scale of 1-10 and then getting an implied “distribution” from that.