product feedback survey
Feedback Survey
Product feedback collected through a quarterly survey is a snapshot from three months ago. Deploy this automation and product feedback is captured continuously at feature use, after updates, and at key moments in the product journey, giving your team live intelligence rather than historical data.
About this automation
Type
Feedback Survey
Industry
Free to use
✓ Yes
Deploy time
Under 5 min
Triggers
API, In-App
Delivers via
Email, In-App
What this survey asks
01
How easy was this feature to use?
Rating, 1 to 5 stars, fires on first use of a new feature
02
Did this update improve or worsen your experience?
Better / Same / Worse, fires after a UI change
03
What were you trying to accomplish?
Open text
04
Is there a capability you wish this had?
Open text, feeds the product backlog with demand evidence
05
How confident do you feel using this workflow?
Rating, 1 to 5 stars, fires on first completion of a core workflow
The automation
Trigger: a defined product moment occurs
Fires the moment the defined product event occurs.
API, In-App
Contextual survey delivered
Fires at new feature use, a UI change, or first workflow completion.
Routed by feature area
Every response tagged the instant it arrives:
Positive sentiment
Logged to the feature record.
Needs attention
Usability complaints trigger a design review, feature requests go to the backlog.
Product intelligence dashboard
Live product intelligence, updated in real time.
Why this automation matters
The lag between a product decision and the research informing it is where many features go wrong. A team that decides what to build based on a user study from six months ago is working with a model of customer needs that has already changed. A team that builds on live product feedback captured continuously from active users is working with what customers need right now. Deploy FeedbackRobot's product feedback survey automation and the data collection matches the pace of product development. Whether users refer to it as a product feedback survey or a product feedback form, the submission experience is the same: a short, contextual prompt that fires at the moment it is most relevant. A new feature going live triggers a usability check. A significant UI change triggers a before-and-after comparison survey. A user completing a core workflow for the first time triggers a clarity assessment. Each response is tagged with the feature area and user segment and routed to the product team member responsible. A pattern of usability complaints about a specific workflow triggers a design review. A pattern of requests for a missing capability goes into the product backlog with quantified demand evidence attached. Product feedback stops being something your team has to go out and find and starts arriving as a continuous signal from the users actively using what you have built.
Expected outcome
Connects to the platforms that matter
Triggers
API, In-App
Channels
Email, In-App
Common questions
How is this different from in-app-survey?
Closely related mechanically, this one is framed specifically around product development moments, new feature launches, UI changes, core workflow completion, rather than general product usage.
Does this replace periodic user research?
It's meant to complement or reduce reliance on it, periodic research is a snapshot from months ago, this captures live signal continuously.
What happens to a pattern of usability complaints on one workflow?
It triggers a design review, since the aggregate pattern is a stronger signal than any single response.
How does a feature request actually reach the backlog?
It's tagged with feature area and user segment, and a recurring request pattern goes into the backlog with quantified demand evidence attached.