Free Salesforce User Survey

This question gauges general user contentment, which is a key indicator of platform success. High satisfaction correlates with increased loyalty and productivity.

Assessing UI satisfaction highlights design elements that work well or need refinement. A cleaner interface often leads to higher adoption rates.

This net promoter - style question measures advocacy and overall satisfaction. Strong recommendations typically reflect a positive user experience.

Customization drives user efficiency by fitting Salesforce to specific workflows. Understanding customization satisfaction informs development priorities.

Performance directly affects user efficiency and frustration levels. Slow response times can hinder productivity and adoption.

Reporting is critical for data-driven decision-making. This question reveals if analytics meet users' needs.

Workflow fit determines whether users can complete tasks efficiently. Gaps here suggest opportunities for process improvements or training.

Mobile accessibility ensures productivity on the go. Identifying mobile pain points helps enhance app performance and design.

Collaboration features like Chatter facilitate teamwork and information sharing. Understanding satisfaction here highlights collaboration strengths or gaps.

Seamless integrations boost efficiency by connecting systems and reducing manual work. This question reveals integration success and challenges.

This question measures the regularity of dashboard engagement, which is crucial for real-time insights. High usage indicates valuable visibility into key metrics.

Understanding report use reveals reliance on analytics for strategic choices. Underuse could signal the need for better report training or customization.

Record management frequency reflects daily interaction with the platform. Low activity may indicate process blockers or lack of adoption.

Automation reduces manual work and errors, boosting efficiency. Tracking usage shows whether users recognize and leverage these capabilities.

Collaboration features support team communication and transparency. Usage levels help assess if these tools enhance project coordination.

AI-driven insights can streamline decision-making. Understanding adoption rates guides investment in training and feature promotion.

Mobile use tracks flexibility and productivity outside the office. Low usage may highlight performance issues or training gaps.

Customization empowers users to tailor Salesforce to their needs. This question reveals whether users feel confident making adjustments.

Integrations streamline data flow and reduce duplication. Understanding integration usage helps prioritize connector development.

Engagement with support content indicates self-sufficiency and awareness of resources. Low engagement may point to accessibility or relevance issues.

Onboarding clarity affects how quickly users become productive. Ambiguity here often leads to frustration and delays.

Training materials need to be comprehensive and accessible. Quality ratings identify content gaps or strengths.

Practical exercises solidify learning and boost confidence. Insufficient hands-on practice can hinder long-term retention.

Customization training empowers users to adapt the platform to their needs. Effectiveness here drives better adoption and satisfaction.

Resource accessibility ensures users can resolve challenges independently. Poor access can increase reliance on support teams.

Preparation level directly impacts early success and confidence. Gaps suggest where onboarding enhancements are needed.

Timely trainer support builds trust and momentum. Slow responses can disrupt learning and diminish engagement.

Peer sessions encourage shared best practices and community building. Helpfulness ratings inform the value of collaborative learning.

Confidence levels indicate training effectiveness and readiness. Low confidence highlights areas requiring additional practice.

Future resource use reflects perceived value and trust in the materials. High likelihood suggests ongoing engagement and improvement.

Response time influences user frustration and productivity. Faster resolutions typically correlate with higher satisfaction.

Clear guidance ensures users can resolve issues independently. Ambiguous instructions may lead to repeated support requests.

Access to self-service resources reduces dependency on live support. Accessibility ratings reveal usability of help portals.

Community support can accelerate problem-solving through shared experiences. Effectiveness highlights the value of peer assistance.

Support staff expertise builds user confidence in solutions. Low expertise can erode trust and satisfaction.

Effective follow-up ensures issues remain resolved and users feel valued. Poor follow-up can leave problems unresolved.

Escalation processes affect how quickly critical problems are addressed. Ease of escalation contributes to overall user trust.

Meeting SLAs is crucial for operational continuity and planning. Deviations highlight areas for service-level improvement.

Integration support quality influences system interoperability and data flow. High satisfaction suggests smooth integration processes.

Consistent experiences build reliability and trust in support services. Inconsistency can lead to confusion and dissatisfaction.

Usage frequency indicates overall adoption and reliance on the platform. Low frequency may signal engagement challenges.

Engagement with updates reflects user openness to change. Low engagement could mean release communications need improvement.

Community participation fosters knowledge sharing and problem-solving. Activity levels reveal community health and value.

Willingness to explore advanced features drives deeper platform utilization. Hesitation may point to training gaps or complexity concerns.

Regular communications keep users informed and aligned with standards. Poor communication can lead to inconsistent usage.

Motivation levels influence consistent engagement and productivity. Low motivation may indicate feature or usability issues.

Internal feedback loops drive continuous improvement. Low feedback rates suggest potential communication barriers.

Event participation reflects interest in learning and engagement with the ecosystem. Low attendance might require more targeted promotion.

Collaborative use enhances team efficiency and data sharing. Understanding collaboration frequency helps optimize tools and processes.

Willingness to advocate for Salesforce indicates strong buy-in. Champions can accelerate wider adoption across the organization.