In-app surveys transform how you collect user feedback by capturing insights at the exact moment users interact with your product. Instead of relying on delayed email surveys or generic pop-ups, contextual surveys appear when users are actively engaged, whether they've just completed a task, tried a new feature, or reached a milestone. This real-time approach significantly enhances response rates and feedback quality, providing you with actionable insights to enhance your product experience and reduce churn.
Contextual in-app surveys for real-time insights
Personalize and trigger surveys based on user attributes and actions, right after they use a feature, not before or a week after - no more random pop-ups that get ignored. Collect feedback directly inside your app while users are actively using it, eliminating delays and gaps associated with traditional feedback mechanisms and analytics. Deploy targeted surveys at the moment of peak engagement for higher response rates. Learn how to improve your product in real time with The Power of In-App Feedback.
Example: A project management tool triggers a quick CSAT survey immediately after users complete their first project milestone, capturing feedback while the experience is fresh and emotions are high. In-app response rates are often higher than those in email surveys.
NPS and customer satisfaction scoring
Build standard NPS surveys that appear inside your app for active customers (e.g., 30 days after subscription) and CSAT surveys that pop up at the right time after users complete tasks. Utilize NPS, CSAT, CES, multiple-choice, and open-ended questions to gather the necessary data. Track satisfaction trends over time with integrated analytics.
Example: A SaaS platform automatically triggers NPS surveys for users who have been active for 90 days, then uses the scores to segment users for targeted retention campaigns. Promoters receive referral programs, while detractors receive proactive support outreach.
Dynamic follow-up based on response logic
Use logic-based triggers to jump between steps based on answers, with the ability to embed surveys anywhere in your app, depending on user behavior. Guide users dynamically through surveys based on their responses, making feedback collection more personalized and relevant, and create branching survey experiences that adapt to user input. Learn more about flow creation options and best practices.
Example: An e-commerce platform asks, "How was your checkout experience?" If users rate it poorly, they're automatically shown follow-up questions about specific pain points (e.g., payment issues, shipping options), while satisfied users get prompted with product recommendations.
Churn prevention through exit intent feedback
Trigger flows when users try to cancel their subscription, providing feedback on the reason for cancellation and asking dynamic follow-up questions to retain the customer. Capture valuable insights into why users leave, providing opportunities for intervention and retention.
Example: A subscription service detects cancellation attempts and triggers a brief survey to gather information about the cancellation reasons. Users citing "too expensive" are offered discount codes, while those saying "not using it enough" get personalized onboarding to discover unused features.
Feature-specific feedback for product development
Ask for feedback about new features you've built or features you're considering building. Feature requests highlight user priorities for future development, while bug reports identify issues needing immediate attention. Collect targeted feedback about specific product areas to inform roadmap decisions.
Example: A design tool launches a new collaboration feature and uses Userflow to survey users who have tried it at least three times, asking about ease of use, any missing functionality, and their likelihood of recommending it, directly informing the next iteration of development.
User segmentation through welcome surveys
Ask new users multiple-choice questions and use their answers to personalize the rest of their onboarding flow. Pose questions such as, "What is your role?", "How experienced are you?", "What's your primary goal?". Store survey answers in user attributes to track what each user has answered and utilize stored answers in triggers for personalized content. Build rich user profiles for targeted experiences.
Example: A marketing automation platform uses a welcome survey to identify user roles (marketer, agency owner, consultant) and experience level, then customizes both the onboarding flow and ongoing feature announcements based on these segments.
Multi-channel feedback integration
Seamlessly integrate with existing tools, from CRMs like HubSpot to analytics platforms like Heap and Mixpanel, making it easier to analyze feedback and turn insights into action. Use integrations with analytics providers like Heap, Mixpanel, and Amplitude to send cohorts into Userflow for targeted surveys. Create unified feedback ecosystems across your tech stack.
Example: A CRM company uses Amplitude to identify users exhibiting disengagement signals (decreased login frequency), then automatically adds them to a Userflow survey cohort that asks about satisfaction and barriers to usage, with responses flowing back to their support team in HubSpot.
Continuous product validation through recurring surveys
Set auto-start conditions to 'Start unlimited times' or 'Start multiple times' with time intervals for recurring surveys (e.g., every 90 days). Focus on asking only the most relevant and actionable questions, using concise and targeted surveys that are spaced out strategically. Monitor satisfaction trends and product-market fit over time.
Example: A productivity app sends quarterly product satisfaction surveys to active users, tracking how ratings change with new feature releases and using trends to validate product strategy and identify emerging user needs.
A/B testing survey approaches for optimization
Experiment with different flow variations by automatically assigning users to test groups and identifying the most effective onboarding approach. Test different survey timing, question formats, and incentive structures to optimize response rates and the quality of feedback.
Example: An e-learning platform A/B tests survey timing - sending course feedback surveys immediately after completion vs. 24 hours later - discovering that immediate surveys get 3x higher response rates but delayed surveys provide more thoughtful, actionable feedback.