KLAS Survey Questions

A KLAS survey is a structured questionnaire designed to gather feedback from users on technology and service experiences, particularly in the healthcare sector. It collects insights on quality, performance, and overall satisfaction. The survey is important because it provides objective data that helps organizations identify strengths and areas for improvement, driving better decision-making and enhanced service delivery.

When planning a KLAS survey, ensure that questions are clear and targeted to capture meaningful feedback. Consider including a variety of question types, such as ratings and open-ended responses, to gain deeper insights.
This approach enables organizations to track trends over time and make informed adjustments for continuous improvement.

Good examples of KLAS survey questions focus on user experience, satisfaction levels, and service reliability. You might ask how easy a system is to use, what aspects need improvement, or if the service met expectations. These questions are designed to invite honest, actionable feedback that reveals strengths and weaknesses. They often include rating scales and open-ended queries to capture detailed responses.

For instance, you can ask, "How would you rate the responsiveness of our service?" or "What changes would you suggest for improvement?"
This combination of question types ensures that survey responses provide both quantitative metrics and qualitative feedback for a balanced view.

Create effective KLAS survey questions by keeping them clear, concise, and focused on the key aspects of service quality. Begin with a goal in mind and design questions that explore user experiences in depth. Avoid leading language and ensure that questions are neutral to encourage unbiased responses. Use plain language that resonates with your target audience and keeps responses straightforward.

Consider testing your survey with a small group before full deployment to catch any confusing wording.
Additionally, mix multiple-choice questions with open-ended responses to capture both quantitative data and qualitative insights. This balanced approach helps refine your survey questions for better clarity and effectiveness.

The number of questions in a KLAS survey should strike a balance between gathering comprehensive data and minimizing respondent fatigue. It is best to focus on 10 to 15 well-crafted questions that cover the most critical areas. Too many questions can overwhelm the respondent, while too few might not capture sufficient data to drive meaningful insights. Carefully select questions that align with your survey objectives.

It is advisable to pilot the survey with a small group to determine if additional questions are needed or if some can be eliminated.
This iterative process ensures that the final survey remains concise, engaging, and effective in collecting the necessary information.

The best time to conduct a KLAS survey is during a stable period when recent experiences are fresh in respondents' minds. It is common to schedule such surveys annually or biannually, depending on the pace of change in services. This timing helps capture periodic feedback that reflects current performance without causing survey fatigue. Ensuring that feedback is relevant will increase the quality of responses received.

Consider aligning your survey schedule with strategic review periods or before major service changes.
Regular intervals provide a clear trend analysis over time while allowing time for improvements to be implemented and assessed. This systematic approach ensures quality data collection and continuous service enhancements.

Common mistakes in KLAS surveys include using vague questions, leading language, and overly technical terms that confuse respondents. Failing to pilot the survey and not considering the respondent's experience can also lead to low response rates and poor quality data. It is important to avoid unnecessary jargon and keep the survey concise to maintain engagement and gather accurate feedback on service performance.

Make sure to test your questions first and revise them for clarity.
Additionally, avoid overloading the survey with too many questions or redundant topics. Learning from past surveys and incorporating user feedback in the design process will help prevent these errors and yield more actionable insights.