New Year, same old survey If you run an annual survey - be it customer experience or employee feedback - you do it every year, ask the same questions, review the report, repeat - then we have a new year challenge for you.
Another staff survey! Why will it be any different this time? What happens when you need insight and feedback from staff but your organisation's track record with staff surveys has not exactly been a success? For some, the disappointment was a poor response rate. For others, the results simply weren't what they hoped for. Probably, nothing happened.
Compulsory questions: 'Please answer to continue...' In my online survey should I make all questions compulsory to answer? Yes / No. What if I've not planned for your answer? Do you...
Benchmarking employee surveys: average, better than or worse? Benchmarking the results of your employee survey helps you get a feel for where the organisation is. And yet too often it leads to inaction. In the worst case, results are justified or explained away, instead of action being taken to improve things.
Unpicking tensions at work: what does your 'Employee Voice' say? You asked for honest and candid feedback in your employee survey, and now you're unpicking some quite negative comments. What's the story? And what do you do?
How to use the 'Would you recommend?' survey question Few survey questions are as ubiquitous as "How likely are you to recommend X?" But look beyond the 10-point scale, and there's a mine of insight waiting to be dug up. Here's how.
Part 2: Things we've learned in 20 years I've been racking my brains for what are the top 20 lessons we've learned. I came up with this list... 11. Do what you say you'll do 12. People thrive in the right environment 13. The ones we don't remember...
Things we've learned in 20 years (part 1) What were you doing two decades ago? Before mobile phones had internet and stole all our time? Twenty years ago, we started Surveylab. I've been racking my brains for what are the top 20 lessons we've learned, but keep getting sidetracked by "ooh, do you
Using ChatGPT to read survey comments Observations experimenting with ChatGPT to summarise survey comments left us wondering what's missing?
Survey data: Do you read all the comments? Survey comments are a gold mine. They provide detail, depth, and verbatim insight from the source. But when there are so many the process is daunting - how do you make sense of all the voices?