Voice of customer
Hear from users right where they are. Run NPS, ratings, and quick questions at the perfect moment — then read summarized results and export the raw data whenever you need it.
How teams use Wakeline for this.
Ask at the right moment
Trigger NPS or a rating after a key action, not at random.
Every question type
NPS, stars, multiple-choice, or open text — whatever fits.
Read the results
Responses are summarized for you and exportable to CSV.
Live in three steps.
Pick the moment
Trigger after a meaningful action.
Ask the question
NPS, rating, choice, or text.
Act on it
Read the summary, export the raw data.
A feedback program, not a feedback spasm.
Most in-app feedback fails by being one big survey nobody finishes. The working shape is small asks, right moments, standing cadence — here is a quarter of it.
The always-on pulse
Quarterly NPS: 0–10 scale plus one open follow-up, targeted at identified users past 30 days of tenure, frequency once, republished per quarter. Two steps, never more.
The moment surveys
A star rating triggered on report_exported (delayed three seconds); a multiple-choice "What almost stopped you?" after first-week activation. Each tied to the event it asks about.
The verbatim mine
Responses collects everything with identity attached: distributions for the scores, ranked tallies for choices, and every open answer next to the account that wrote it.
The loop closure
Detractors mentioning the same theme get a human follow-up through support; the theme itself gets a roadmap line and a CSV export for the quarterly deck. Feedback users see acted on doubles the next quarter's response rate.
What to expect: A standing signal instead of an annual survey scramble — response rates several times email's, verbatims attached to real accounts, and a defensible number in front of every roadmap argument.
When not to use this play.
No pattern fits every job. Here’s where we’d point you at something else — sometimes ours, sometimes not.
When nobody owns the follow-up
Collecting feedback you will not act on is worse than not asking — users notice the void. Assign an owner for detractor follow-up before the survey ships, or do not ship it.
Deep generative research
In-app surveys measure at scale; they do not explore. "Why do teams churn" needs interviews and session replays — use surveys to find who to talk to, not to replace talking.
Moments of failure
Never survey an error page or a rage-click streak. You will measure the incident and burn goodwill doing it. Fix first; ask later, when the answer can be about the product.
What makes in-app feedback better than email surveys?
Context and timing: the ask arrives seconds after the experience it measures, inside the product, from users who are demonstrably active. Response rates run several times email's, and answers attach to accounts with traits — not anonymous form fills.
Which question types should I use for what?
NPS for the standing pulse, star ratings for feature-level satisfaction, multiple choice when you know the options, open text when you do not, and form fields when you need structured input. One or two questions per ask — length is the response-rate killer.
How often can I survey without annoying users?
Frequency "once" per survey plus the project-wide rate limits give you a hard floor. As a program: one pulse per quarter, moment-triggered surveys gated on the moment, and never two asks in one session — the caps enforce the last part automatically.
How do I turn responses into decisions?
Read distributions (not averages), theme the verbatims monthly, and attach account value to each theme via the traits on every response. A theme worth $200k of at-risk ARR argues for itself — the CSV export exists for exactly that spreadsheet.
Put this to work.
Ship your first guide in minutes. Free to start — no credit card.