Template Questions
All 9 Onboarding Survey Questions
Nine questions built around the moments that decide whether a new user sticks. Question 3 (speed of first value) is the most important trial conversion predictor. Users who feel they got value quickly are far more likely to convert to paid. Question 5 (confidence using independently) is your clearest churn-risk signal after onboarding ends: users who don't feel confident will quietly stop logging in within a few weeks.
01How easy was the initial setup and account configuration?Scale 1–5
02How clear and helpful were the getting-started guides and documentation?Scale 1–5
03How quickly did you start getting real value from the product?Scale 1–5
04How helpful was the support or onboarding team when you had questions?Scale 1–5
05How confident do you now feel using the product on your own?Scale 1–5
06How well did onboarding help you discover the features most relevant to your goals?Scale 1–5
07Overall, how satisfied are you with your onboarding experience?Scale 1–5
08How likely are you to recommend this product to a colleague or peer?NPS 0–10
09What was the biggest obstacle or confusing moment during your onboarding?Open Text
The Onboarding Journey
Where Users Drop Off at Each Stage
1
Setup
Q1. First friction point. Complex config or a confusing first screen loses users before they start.
2
First value
Q3. The aha moment. Users who get here fast are significantly more likely to convert.
3
Independent use
Q5. Where most churn is seeded. Low confidence here means silent abandonment 2 to 4 weeks later.
4
Discovery
Q6. Do users know what the product can do for them? Low scores mean expansion revenue at risk.
Risk Signals
What Low Scores Mean in Practice
Q3 below 3: value not found
User has not experienced the core benefit yet. Immediate CS outreach needed. High cancellation risk.
Q5 below 3: confidence gap
User will not grow usage independently. Schedule a check-in or trigger an in-app guide sequence.
Q6 below 3: discovery failure
User does not know what the product can do. Expansion revenue and feature adoption both at risk.
Sample Results
Your Onboarding Dashboard
After 67 day-30 responses for a project management SaaS, the feature discovery gap revealed that users were not reaching the collaboration features that drove the most retention. Adding a guided prompt at day 14 to invite a team member lifted Q6 scores and increased paid conversion from 18% to 27% over the next two cohorts:
Onboarding Survey · 67 responses · Day 30 cohortMarch 2026
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Time to first value
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Confident alone
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Overall satisfied
Setup ease4.1 / 5
Docs and guides3.7 / 5
Got value quickly3.4 / 5
Feature discovery2.9 / 5
Independent confidence3.8 / 5
FAQ
Frequently Asked Questions
Is this software onboarding survey template free?
Yes. Free forever with no signup. Up to 100 responses free. Pro ($19/month) allows 10,000 responses and cohort-by-cohort tracking.
How is this different from an app usability survey?
An app usability survey measures the ongoing interface experience for existing users: navigation, performance, and design clarity. This onboarding survey focuses on the critical first 7 to 30 days: was setup easy, did users find documentation, did they reach value quickly, and do they feel confident afterwards? Run onboarding surveys at day 7 or 30 per user. Run usability surveys periodically with your whole active user base.
When should I send this survey?
At day 30 for a comprehensive onboarding review. At day 7 for a quick setup and first-value pulse. If your trial is shorter than 30 days, send two days before trial expiry. Day 30 is the more informative timing: users have had enough experience to assess whether onboarding prepared them properly.
What is time to first value and why does it matter?
Time to first value (TTFV) is how long it takes a new user to experience the core benefit your product delivers. Users who reach it within their first session or first week cancel at significantly lower rates. Question 3 measures whether users felt they got value quickly. A "no" here is your highest-priority intervention signal.
Should this survey be anonymous?
No for most SaaS products. Linking responses to specific user accounts allows your CS team to proactively reach out to users who score low on confidence or first value. Users who rate onboarding below 3 and have not activated are your highest churn risk: a personal email from a CS team member converts many of them. Tell users how their feedback is used.
Can this work for B2B enterprise software?
Yes. For enterprise products, adjust the framing to reflect team onboarding. The documentation and support questions become even more critical for enterprise users with complex setup requirements. Consider running the survey separately for IT administrators who configure the tool and end users who use it day-to-day: they have very different onboarding experiences.
Can this work for no-code and self-serve products?
Yes. For self-serve products, reframe Q4 as "quality of in-app guidance and help resources" rather than team support. Documentation (Q2) and independent confidence (Q5) are your most critical dimensions because there is no CS team to catch users who fall through the cracks.
How do I use this data to improve trial-to-paid conversion?
Low Q3 (first value) means users are not reaching the aha moment: redesign the new user flow to lead with the most valuable action first. Low Q2 (docs) means guides are hard to find: invest in in-app tooltips or a better knowledge base. Low Q5 (confidence) means onboarding ends too soon: add check-in emails at day 7 and 14. Low Q6 (discovery) means users don't know what the product can fully do: add feature spotlights at key milestones.
What questions should a software onboarding survey include?
A good software onboarding survey covers: ease of initial setup and account configuration, clarity of getting started documentation and guides, how quickly users reached their first moment of value, quality of onboarding support from the team, confidence using the product independently after onboarding, whether they discovered the key features they need, overall onboarding experience rating, likelihood to recommend, and open feedback. This template covers all nine dimensions.
What is the difference between a software onboarding survey and an app usability survey?
An app usability survey measures the ongoing interface experience for existing users: task completion ease, navigation, performance, and mobile quality. A software onboarding survey focuses on the critical first 7 to 30 days: was setup easy, did users find documentation, did they reach value quickly, and do they feel confident after onboarding? Onboarding surveys are run once per user at a specific milestone. Usability surveys are run periodically with your active user base.
When should I send the software onboarding survey?
At day 7 for a quick setup and first-value pulse. At day 30 for a comprehensive onboarding review after users have had time to explore the product. Day 30 is the more common and more informative timing because users have had enough experience to assess whether onboarding prepared them well. If your trial period is shorter than 30 days, send it two days before trial expiry.
What is time to first value (TTFV) and how does this survey measure it?
Time to first value (TTFV) is how long it takes a new user to experience the core benefit your product promises. It is the most important onboarding metric for SaaS retention because users who reach first value within their first session or first week cancel at significantly lower rates. Question 3 in this survey directly measures user perception of TTFV: whether they felt they got value quickly. Users who say no to this question are your at-risk trial cohort.
What is activation rate and how does this survey support it?
Activation rate measures the percentage of new users who complete a defined 'activation' event, such as completing setup, connecting an integration, or completing their first core task. This survey identifies which onboarding steps users struggle with, why they feel underprepared, and which features they did not discover during onboarding. Those signals help you improve the activation flow that determines whether trial users convert to paid subscribers.
How do I use onboarding survey data to reduce trial-to-paid churn?
Map each low-scoring dimension to a specific onboarding fix. Low setup ease scores suggest the initial configuration is too complex: simplify defaults or add a setup wizard. Low documentation scores suggest guides are hard to find or poorly written: invest in in-app tooltips or a better knowledge base. Low first-value speed scores suggest users are not being directed to the aha moment quickly enough: redesign the new user flow to lead with the most valuable action first. Low independent confidence scores suggest onboarding ends too early: add follow-up check-in emails or in-app prompts at day 7 and 14.
Should software onboarding surveys be anonymous?
No for most SaaS products. Linking onboarding survey responses to specific user accounts allows your customer success team to proactively reach out to users who score low on confidence or first value. Users who rate their onboarding below 3 and have not yet reached activation are your highest churn risk: a personal outreach email from a CS team member can convert many of them. Always tell users how their feedback is used.
Can this survey be used for B2B enterprise software onboarding?
Yes. For B2B enterprise products, adjust the framing to reflect team onboarding rather than individual onboarding. The documentation and support questions become even more important for enterprise users, who often have complex setup requirements and multiple stakeholders. Consider running the survey separately for different user roles within the same account: the IT administrator who configures the tool and the end users who use it day-to-day will have very different onboarding experiences.
What is the aha moment in SaaS and how does onboarding connect to it?
The aha moment is the specific instant when a new user first experiences the core value your product delivers. Getting users to that moment faster is the primary goal of onboarding design. Products that can identify their aha moment and redesign onboarding to reach it in the first session see dramatically better trial conversion rates. Question 3 (speed to first value) combined with Q5 (independent confidence) tells you whether your onboarding is successfully delivering users to that moment.
How many onboarding survey responses do I need for meaningful data?
20 responses per cohort for directional insights. 50+ for reliable identification of specific onboarding problems. For high-volume SaaS products running continuous onboarding, aggregate weekly and review monthly. For lower-volume products, accumulate over 60 to 90 days before making onboarding changes. The open text question tends to be highly informative even at small sample sizes because onboarding problems are often systemic and multiple users describe the same issue.
Can this survey work for no-code tools and self-serve software products?
Yes. Self-serve products with no human onboarding support rely entirely on in-product guidance, documentation, and user interface clarity to onboard users successfully. The support quality question (Q4) for self-serve products should be reframed as 'quality of in-app guidance and help resources'. The documentation question (Q2) and independent confidence question (Q5) are the most critical for self-serve products because there is no CS team to catch users who fall through the cracks.
Find out where new users get stuck before they quit
9 questions. Trial conversion signals. Send at day 7 or day 30.
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