One idea (which you might be doing already) is making the people collecting the data DIFFERENT from the people organizing/running the sessions.
For example, if Bob organizes and runs a session, and everyone likes Bob, but thinks that the session was so-so, they may be less willing to write negative things down if they know Bob is the one collecting and analyzing data.
If Bob runs the sessions, then SALLY should come in at the end and say something like “Well we want to make these better, so I’M gathering information of ways to improve, etc”
Even if Bob eventually gets the negative information, I think people might be more likely to provide it to Sally (one step removed) than to Bob directly.
(Even better: Nameless Guy organizes a session. Bob teaches session (making sure everyone knows this is NAMELESS’ session, and Bob is just the mouthpiece.)
Also, I would say that verbal comments are generally MUCH more useful than Likert scale information anyways. It’s better to be getting good comments, and bad Likert scores than vice versa.
One idea (which you might be doing already) is making the people collecting the data DIFFERENT from the people organizing/running the sessions.
For example, if Bob organizes and runs a session, and everyone likes Bob, but thinks that the session was so-so, they may be less willing to write negative things down if they know Bob is the one collecting and analyzing data.
If Bob runs the sessions, then SALLY should come in at the end and say something like “Well we want to make these better, so I’M gathering information of ways to improve, etc”
Even if Bob eventually gets the negative information, I think people might be more likely to provide it to Sally (one step removed) than to Bob directly.
(Even better: Nameless Guy organizes a session. Bob teaches session (making sure everyone knows this is NAMELESS’ session, and Bob is just the mouthpiece.)
Also, I would say that verbal comments are generally MUCH more useful than Likert scale information anyways. It’s better to be getting good comments, and bad Likert scores than vice versa.