voice of the customer survey
Feedback Survey
Voice of the customer research that runs quarterly gives you four snapshots per year. Deploy this automation and VoC data is collected continuously at every touchpoint, giving you a live picture of what customers want rather than what they wanted three months ago.
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 well is the product meeting your needs right now?
Rating, 1 to 5 stars, fires at defined journey stages
02
What's the main outcome you're hoping to achieve?
Open text, post-onboarding
03
What's one thing you wish worked differently?
Open text, feeds directly to the product team
04
How likely are you to renew or continue?
0 to 10 scale, pre-renewal
05
What would make this a 10?
Open text, detractor and passive recovery signal
The automation
Trigger: defined journey stage completes
Fires automatically the moment a defined journey stage completes.
API, In-App
Survey delivered at each stage
Goes out via Email or In-App, specific to onboarding, support, purchase, or renewal.
Routed by team
Each response routed to the team that owns that signal:
Positive sentiment
Positive outcomes logged for marketing and product reference.
Needs attention
Churn-risk signals route to customer success immediately.
Cross-team VoC dashboard
Live view across product, marketing, and customer success, updated continuously.
Why this automation matters
VoC programs that depend on periodic research have a structural problem: the research is always behind the market. A study conducted in Q1 reflects what mattered to customers in Q1. By Q3, when the findings reach the product or service team, some insights are already outdated and there is no way to know which ones without running the research again. Deploy FeedbackRobot's VoC automation and the data collection never stops. Surveys fire at defined trigger events across the customer journey: post-onboarding, post-support, post-purchase, pre-renewal. Each is short, specific to the journey stage just completed, and structured to surface what the customer needs and whether the product or service is meeting it. The aggregate data updates in real time. Product teams get a live view of what customers are asking for. Marketing sees which outcomes customers cite most when describing why they chose the product. Customer success sees which segments are most satisfied and which are most likely to churn, weeks before the churn signal shows up in usage data. VoC stops being a research project and starts being a continuous operational signal.
Expected outcome
Connects to the platforms that matter
Triggers
API, In-App
Channels
Email, In-App
Common questions
Why does this fire at so many different journey stages instead of one relationship-level check-in?
Each stage, onboarding, support, purchase, renewal, surfaces a different kind of signal, a single relationship-level question would blend them into one score that hides which specific stage is driving satisfaction up or down.
Why does this replace quarterly VoC research specifically?
Quarterly research reflects what mattered months ago by the time it's compiled and shared, this collects the same kind of insight continuously so it's never more than a few weeks stale.
Who actually sees this data?
Product, marketing, and customer success each see the parts relevant to them, feature requests to product, positioning language to marketing, satisfaction and churn risk to customer success.
Does this risk survey fatigue, firing at so many stages?
Each survey is short and tied to a specific journey stage the customer just experienced, which keeps it feeling relevant rather than repetitive.