Survey
This dashboard provides a comprehensive view of survey results, allowing segmented analysis of both quantitative and qualitative responses. It supports the identification of participation patterns, user preferences, and key areas of interest through various interactive visualizations and analytical tables. Users can filter and group data based on different criteria, optimizing decision-making and strategy design according to customer feedback. It's important to note that surveys may include menu-type, text, or numeric questions.
Survey Results Tree Map
This chart is designed to show the distribution of responses across different surveys and questions, helping identify participation trends and areas of greatest interest. Each box’s size is proportional to the number of responses, highlighting the most relevant questions. The top rows summarize the total completed surveys and allow for comparison between them. Monochromatic coloring enhances the visual grouping of questions within each survey. Only menu and numeric type questions are represented in this diagram.
Data Interpretation
The Tree Map chart includes three top rows:
- First row: Total number of completed surveys.
- Second row: Survey names, one column per survey.
- Third row: Questions for each survey, accompanied by the number of responses received.
Each box represents a question’s results, with its size indicating how many responses it received. Larger boxes correspond to questions with more engagement. Monochromatic tones help visually group questions under their respective surveys.
Use Case
Description: A company evaluates customer satisfaction through surveys that include questions about speed, service quality, and problem resolution.
How to use the chart:
This diagram allows quick identification of the most and least answered questions. Such insights help the analytics team prioritize improvement areas and refine future surveys to enhance their relevance and effectiveness.
Survey Response Frequency Table
This table is intended to facilitate the analysis of survey responses by identifying key patterns and preferences among respondents. Its grouping and filtering capabilities allow for segmented insights, supporting more targeted decisions.
Data Interpretation
The table displays responses grouped by how often each option was selected. Columns include:
- Survey: Name of the survey.
- Language: Language used in the survey.
- Question Title: Identification of each question.
- Option: Selected response or entered numerical value.
- Count: Frequency of each selected option.
Identifying the most chosen options helps align products, services, or policies with customer needs. Common responses can also reveal priorities for improvement.
Features
- Group: Dragging a column to the top groups the data by that field, making comparison easier.
- Filter: Each column includes a filter for selecting rows based on specific conditions, using AND/OR logic. Buttons to Apply or Clear filters are also available.
Use Case
Description: A streaming service conducts a survey on content preferences.
How to use the table:
- The marketing team analyzes the Count column to spot popular genres and target campaigns accordingly.
- The content team uses the Language column to prioritize dubbing or subtitles.
- Applying filters reveals specific patterns, such as regional or demographic trends, helping tailor the content catalog.
Survey Details
This table provides a detailed view of customer sessions that include completed surveys. It organizes key information about interaction channels, classification criteria, and specific survey details. Its purpose is to support behavioral analysis and evaluate survey effectiveness, offering data-driven decision support.
Data Interpretation
The table organizes data into several columns, each offering insights into the customer's interaction with the survey:
Date: Date and time when the user completed the survey.
Channel Information:
- Channel (C): Icon representing the channel used.
- Service (S): Service number associated with the channel.
- Division (D): Identifier for the division managing the survey.
Session ID: Unique identifier for each user session.
Criteria: Parameter used to classify the session by user identifier.
Criteria Value: Value associated with the classification criteria.
Chat Information:
- Queue: Name of the support queue.
- Chat Session ID: Unique identifier for the chat session.
Survey Information:
- Response ID: Unique ID assigned to each survey response.
- Survey Name: Title of the completed survey.
- Language: Language in which the survey was presented.
- Score: Aggregated rating derived from responses, useful for evaluating effectiveness.
Features
- Group: Drag a column header to group data by its values, aiding segmented analysis.
- Filter: Each column offers filters for narrowing down data based on specific conditions. You can also show/hide columns as needed.
Use Case
A telecommunications company runs satisfaction surveys after customer service interactions. This table enables the analysis team to review and segment sessions based on parameters such as channel, division, or language.
How to use the table:
- Customer Support: Review Date and Session ID to identify patterns related to time or session timing.
- Response Segmentation: Use Criteria and Criteria Value to find