We have more than 15,000 free text comments from our NPS survey respondents, growing by 500+ comments a week. Many of those comments mention individual staff by name - usually in a flattering way, but sometimes in a very derogatory way. We edit the latter to remove the staff name, but we also want to mine the positive comments for staff mentions so we can recognise/reward those staff. It happens informally at the frontline of care (we're a hospital group) but we also want to send a shout out from head office every now and then.
Does anyone know if there is a way to do this? For example, to search for terms which begin with a capital letter - that wouldn't capture all of the relevant comments but it would find most.
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You can try and flag responses that contain the names with an embedded data code for asessment.
You can use the survey flow to assign a value to potential areas- maybe use Regular expressions to either list staff names, or create rules for staff names.
!
It's not very automatic, it still requires a human to filter and decide what's going on. But it at least gives you something to filter for and monitor.
You can use the survey flow to assign a value to potential areas- maybe use Regular expressions to either list staff names, or create rules for staff names.
!
It's not very automatic, it still requires a human to filter and decide what's going on. But it at least gives you something to filter for and monitor.
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