Survey analytics are essential for uncovering actionable insights, and the Survey Response Quality Detection feature plays a key role in ensuring data reliability by identifying and flagging low-quality responses. As responses are received across any channel, this feature immediately begins evaluating each one using multiple criteria to uphold the accuracy and integrity of the insights. It assesses Survey Completion Time to check if responses fall within expected time frames, evaluates Open-Text Quality for relevance and depth, detects inconsistent or suspicious answering patterns through Answering Pattern Identification, and conducts Bot Response Detection to verify whether a response may have been generated by automation.

Business Use Cases

• Improves Response Quality for Accurate Insights: The Survey Response Quality Detection tool assists in identifying and eliminating low-quality responses, ensuring that the analysis relies on precise and significant customer feedback. This feature is particularly beneficial when dealing with a high number of survey responses that may contain irrelevant open-text replies or are filled out too hastily to be trustworthy.

• Preventing Skewed Analytics: The Survey Response Quality Detection identifies discrepancies in survey answers, such as patterns of dubious behavior like assigning the same rating to each question. This enables teams to exclude unreliable data from their analysis and make more informed choices.

Filtering out low-quality survey responses ensures that analytics are based on genuine customer opinions, resulting in more accurate and reliable insights. This enhances confidence in decision-making, as teams can implement strategies backed by trustworthy data. By prioritizing high-quality feedback, organizations are better equipped to address real customer concerns, ultimately improving satisfaction and building stronger customer trust.

Prerequisites

You must have View Response And Analytics permissions under Survey Level.

FAQs