How do you design effective feedback survey questions to improve analytics performance?

Been struggling with our app’s analytics lately. Thinking of running a user feedback survey to pinpoint issues.

What’s worked for you all in crafting survey questions that actually lead to actionable insights?

Curious about question types, length, and timing that’s yielded the best results.

Keep it short. Ask what sucks. Users tell you fast.

Ran a bunch of these for a dating app I worked on. Here’s what clicked:

Mix in a Net Promoter Score question. It’s quick and gives you a baseline.

Ask about specific features, not vague stuff. ‘How often do you use X?’ tells you more than ‘Do you like our app?’

Throw in an open text field. Users surprise you with insights you didn’t think to ask about.

Time it right. We got way better responses by triggering the survey after 2 weeks of use, not right away.

Offer an incentive, even if it’s small. Response rates jumped when we dangled a chance at a $50 gift card.

Test your questions on a small batch first. You’ll catch unclear wording fast.

Focus on specific features and user actions. Ask about their most used feature and biggest frustration.

Keep it to 3-5 questions max. Long surveys kill response rates.

Time it after they complete a key task in the app. Their thoughts are fresh then.

Always add an open-ended ‘Anything else?’ at the end. You’ll often get surprising insights there.

Focus on actionable metrics. Ask users to rate key features on a 1-5 scale. It’s quick for them and gives you clear data.

Include a ‘What’s the one thing we should improve?’ question. Users often nail the biggest pain point.

Keep it under 5 questions total. Long surveys kill completion rates.

Time it after a key action, like completing a core task in your app. You’ll catch users when the experience is fresh.

Always end with ‘Anything else we should know?’ Some of the best insights come from that simple prompt.

Timing matters. We got better results asking after a few weeks of use. Try a mix of multiple choice and open-ended. Users might bring up stuff you didn’t think of.