Free SaaS Customer Survey

Knowing customer tenure helps segment responses by experience level and identify trends among new versus long-term users.

This metric reveals engagement intensity and helps you detect potential underutilization or overuse.

Identifying core features supports prioritization of maintenance, improvements, and highlights areas for training content.

Seat count indicates scale of deployment and informs licensing plans as well as support resource allocation.

Integration usage demonstrates ecosystem fit and uncovers partnership opportunities with complementary services.

Device preferences guide responsive design decisions and help allocate testing resources effectively.

Time-of-day insights support performance optimization and targeted communication scheduling.

This question gauges openness to innovation and effectiveness of in-app discovery tools.

Completion rates of educational programs highlight gaps in user readiness and onboarding quality.

Acquisition channel data informs marketing ROI and directs budget toward the most effective sources.

Dashboard satisfaction reflects usability of primary workflows and overall product intuitiveness.

Performance feedback highlights potential bottlenecks and informs infrastructure scaling decisions.

Ease of customization is crucial for user empowerment and reduces dependency on support teams.

Insight quality measures whether outputs meet business objectives and inform data-driven decisions.

Notification reliability ensures timely updates and prevents missed alerts that could impact workflows.

Mobile satisfaction indicates whether on-the-go access meets user expectations and cross-platform consistency.

Search efficiency drives user productivity and satisfaction in data-heavy environments.

API quality and documentation clarity are key for seamless third-party integrations and developer satisfaction.

Customization satisfaction reveals flexibility of the platform to adapt to unique workflows and branding requirements.

Roadmap transparency fosters trust and helps customers plan for upcoming features and enhancements.

Response time satisfaction reflects operational efficiency and sets expectations for service level agreements.

Perceived expertise influences customer confidence and success in resolving technical issues.

Solution effectiveness measures resolution quality and overall support impact on user productivity.

Clear communication ensures users understand instructions and reduces follow-up queries.

Self-help satisfaction gauges whether documentation and knowledge bases meet user needs independently.

Accessibility feedback highlights any friction points in the support request process.

Post-resolution follow-up measures commitment to customer success and relationship building.

Live chat effectiveness assesses real-time assistance capabilities and quick resolution success.

Onboarding support satisfaction influences early impressions and long-term adoption rates.

Recommendation intent for support indicates overall satisfaction and trust in service quality.

Value rating directly correlates to willingness to renew and upgrade licensing tiers.

Productivity gains measure tangible outcomes and justify continued investment.

Cost reduction insights highlight economic benefits and strengthen ROI narratives.

Revenue impact data supports case studies and upsell conversations with prospects.

Feature alignment determines product-market fit and user satisfaction over time.

Recommendation confidence reveals internal advocacy and executive buy-in potential.

Communication clarity on feature benefits enhances adoption and perceived value.

Collaboration improvements reflect social proof and strengthen retention case studies.

Review cadence feedback informs account management touchpoint schedules.

Renewal intent is the strongest predictor of retention and identifies at-risk accounts.

Future usage intent provides a direct indicator of potential churn risk.

Understanding exit drivers helps prioritize feature or policy changes to mitigate churn.

Pricing dissatisfaction often precedes cancellation, so early detection is critical.

Adaptability feedback identifies mismatches between product roadmap and customer expectations.

Exploration of competitors signals growing risk and informs targeted retention offers.

Request responsiveness influences perceived partnership and long-term loyalty.

Impact of open issues determines urgency of troubleshooting and escalation processes.

Renewal process ease can sway decisions to stay or leave at critical moments.

Downgrade or refund intent highlights financial stress points and feature gaps.

Direct suggestions guide retention initiatives and product enhancements aligned with customer needs.

This classic Net Promoter Score question gauges overall loyalty and satisfaction at scale.

Highlighting strengths informs marketing messaging and reinforces positive experiences.

Story sharing frequency indicates active advocacy and potential for case study participation.

Program satisfaction drives participation rates and expands organic growth channels.

Testimonial intent helps forecast content generation and social proof opportunities.

Community engagement reflects brand stickiness and peer support potential.

Loyalty recognition enhances retention and fosters stronger emotional connections.

Event participation shows engagement beyond product use and deepens customer relationships.

Expansion intent predicts upsell opportunities and revenue growth potential.

Understanding ambassador motivations helps tailor programs that convert advocates into promoters.