Surveylet

Surveylet, developed by Calibrum, is a collaborative research software powered by the Delphi method. According to the vendor, it is designed to help groups overcome challenges to gaining consensus and getting stakeholder buy-in. Surveylet is suitable for companies of all sizes, from small businesses to large enterprises. It is widely used by business analysts, project managers, market researchers, policy makers, and healthcare professionals to facilitate group decision-making and enhance the exchange of opinions.

Key Features

Real-time Feedback: According to the vendor, Surveylet provides real-time feedback, enabling participants to see and respond to each other's opinions and ideas instantly. This feature aims to promote dynamic and interactive collaboration, fostering a more comprehensive understanding of different perspectives.

Streaming Analytics: Surveylet offers streaming analytics, allowing users to monitor and analyze data as it is collected. This feature, according to the vendor, provides immediate insights and helps identify emerging trends or patterns, enabling more informed and timely decision-making.

Consensus Tracking: Surveylet includes consensus tracking features, which, according to the vendor, enable users to monitor the progress of consensus-building within a group. It allows users to track the level of agreement and identify areas of divergence, providing visibility into the decision-making process.

Deep Sentiment Analytics: Surveylet utilizes deep sentiment analytics to analyze the sentiment expressed in participant responses. According to the vendor, this feature helps users gain insights into the emotional tone and attitudes of the group, facilitating a deeper understanding of participant opinions.

Natural Language Processing: Surveylet employs natural language processing techniques to analyze and interpret participant responses. According to the vendor, this feature allows users to extract meaningful insights from open-ended questions and unstructured data, enhancing the analysis of qualitative data.

Open Text Analytics: Surveylet offers open text analytics capabilities, allowing users to analyze and categorize responses to open-ended questions. According to the vendor, users can identify common themes, sentiments, and patterns within the text data, providing a deeper understanding of participant opinions.

Linkage Analytics: Surveylet provides linkage analytics, enabling users to establish connections and relationships between different variables or factors. According to the vendor, this feature helps users identify correlations and dependencies within the data, uncovering hidden insights and understanding complex relationships.

Predictive Analytics: Surveylet incorporates predictive analytics to forecast future outcomes based on historical data and participant responses. According to the vendor, this feature allows users to make informed predictions and anticipate potential outcomes, enhancing decision-making.

Prescriptive Analytics: Surveylet offers prescriptive analytics, providing users with recommendations and suggestions based on data analysis. According to the vendor, this feature helps users make informed choices and optimize their decision-making process.

Trend Forecasting: Surveylet includes trend forecasting capabilities, allowing users to identify and predict future trends based on historical data and participant responses. According to the vendor, this feature enables proactive decision-making and helps organizations stay ahead of the curve.