Teamflect Reports Overview: Surveys

The Surveys report gives you visibility into survey participation and response quality across your organization. You can access survey fill rates, explore insights from collected responses, and review participation breakdowns to understand how different teams or groups are engaging. These metrics help you evaluate survey effectiveness, identify areas where feedback is strong or lacking, and ensure that employee voices are consistently heard.

Apply filters to narrow down and highlight the specific details you want to view in your Surveys Report.
​

You can filter Surveys by:

This section provides a snapshot of survey participation and completion across your organization. It highlights the number of surveys invited, completed, and overdue, along with overall participation percentages. Visual charts display completion trends over time and break down survey activity by template, making it easy to compare engagement across different survey types. These insights help teams evaluate survey effectiveness, identify areas with lower response rates, and ensure feedback is consistently collected.

This section provides visibility into survey deadlines, completion status, and respondent activity. The table highlights whether surveys are ongoing, completed on time, or overdue, along with due dates, completion dates, and the number of surveys in each category. The status tree visually breaks down total surveys into completed versus pending responses, while also listing individual respondents and their completion counts. Together, these insights help managers track survey progress, identify who has responded, and follow up with those still pending to ensure timely participation.

This section summarizes survey results by highlighting overall ratings, common themes in responses, and Net Promoter Score (NPS). It provides both high-level metrics and detailed breakdowns across departments and attributes, making it easy to identify strengths and areas needing attention. Average ratings are displayed by department, while respondent scores for numeric-type questions are tracked over time to show trends in employee sentiment. The NPS metric is further broken down into promoters, passives, and detractors, offering insight into overall satisfaction and loyalty. A supporting table lists survey responses by question set, respondent, and survey type, ensuring transparency and traceability of feedback.

This section provides a detailed view of Net Promoter Score (NPS) results, showing how scores are distributed across categories and how they change over time. The monthly NPS visualization helps identify trends in employee sentiment, while category-level results provide insight into the distribution of responses. A supporting table provides detailed response-level data, including survey name, question set, question, respondent, and their answer, making it easy to trace NPS results back to individual survey responses. Users can also select a category in the visualization to filter the table and explore the corresponding respondents and answers in more detail.

This section provides a detailed analysis of survey responses, focusing on how answers to non-freeform questions are distributed over time. Responses can be explored by selecting specific questions and expanding question sets, making it easy to compare answer distributions across different survey periods. The analysis covers multiple question sets, including exit, onboarding, pulse, and custom survey questions, helping identify patterns and changes in employee responses over time.

This section provides a detailed overview of individual surveys and their associated responses. The survey table includes key information such as survey ID, creation and completion dates, survey name, respondent, survey status, deadline status, question set, and response details. Users can customize the table by selecting or removing columns, including respondent attributes such as job title, department, location, manager, and employee tenure. This makes it easy to review survey progress, track completion and deadlines, and analyze responses alongside relevant respondent information.

This section allows you to leverage AI to interpret survey data more effectively. You can generate automated summaries that highlight key insights such as fill rates, participation trends, and response breakdowns, or ask specific questions about the survey results to uncover deeper patterns. Alongside these features, the tool provides quick contextual analysis while reminding users to validate findings, ensuring that survey data is both accessible and actionable.

✅ Yes. The table clearly distinguishes between anonymous and non-anonymous respondents. This allows you to review anonymous feedback while still being able to analyze named responses for demographic or role-based insights, ensuring both transparency and confidentiality are maintained.

✅ You can export the table to external formats (such as CSV or Excel) to conduct deeper analysis outside the platform. This is useful for combining survey data with other organizational metrics or for preparing reports tailored to leadership and HR needs.

1. Tracking Participation and Completion Rates Organizations can use the Surveys Reports to monitor how many surveys were invited, completed, or left pending. Participation percentages and timeliness data help HR teams identify areas where engagement is strong and where reminders or follow-ups may be needed to ensure feedback is collected consistently.

2. Analyzing Employee Sentiment and Common Themes By reviewing overall ratings, Net Promoter Scores (NPS), and recurring themes in responses, managers gain insight into employee satisfaction and workplace priorities. This allows leadership to spot trends across departments, understand what employees value most, and address areas of concern proactively.

3. Comparing Results Across Teams, Locations, and Attributes Filters such as department, location, country, and user attributes make it possible to break down survey data by specific groups. This enables organizations to compare engagement and sentiment across different teams or regions, ensuring that feedback is representative and that improvement efforts are tailored to the right audience.