Introduction
A survey dashboard is a reporting tool that allows users to view and analyze the results of a survey in visual format. It typically displays a range of metrics, such as the demographic information, the number of responses to each survey question, and the average response to each question. Some survey dashboards may also include features such as text analysis, which can be used to identify common themes and patterns in open-ended responses. A survey dashboard can be a valuable tool for understanding the results of a survey and making data-driven decisions based on the feedback provided by respondents.
Who is this dashboard for?
This dashboard is primarily intended for stakeholders who need to analyze and interpret survey data effectively. This includes a variety of professionals across different sectors, such as business leaders, marketing teams, human resources, researchers and data analysts among other stakeholders who periodically conduct surveys.
The dashboard demonstrates modern and effective ways professionals can package, present, and distribute survey findings using interactive dashboards.
About the data
This data was generated from scratch - simulating the kind of scenarios you’ll find in a survey setup. The dataset contains popular survey questions such as demographic questions, single and multiple responses questions, Likert scale questions, rating scale questions, YES/NO questions etc. – literally, what you would find in a normal survey project.
The data was prepared and shaped using Tableau Prep (note, other external tools of preference can be used in data preparation and cleaning) before it was loaded in Tableau Desktop for data analysis and visualization.
What you can accomplish with this dashboard
This dashboard is divided into two tabs, namely “Demographic Dashboard” and “Survey Dashboard” (note, there is no limit to the number of tabs you can add in your workbook, personally I have developed survey dashboards with more than 40 tabs).
Demographic dashboard is in most cases the first dashboard tab in most survey dashboards. It provides a snapshot of the survey by demographic profiles. Showing the number of respondents by the demographic profiles.
(In the above view – users can see the distribution of respondents by different demographic profiles such as gender, age group, location, employment status, education level, and income level. Other information visible in the demographic dashboard is the sample size, showing the total respondents per demographic as shown on the chart titles).
To make the dashboard more interactive, action filters have been incorporated to help users drill-down views to see changes in other views. For example, to see the distribution of respondents with “PHD”, all you need to do is select PHD on the view – and all other views adjust to show distribution of PHD respondents. Notice, the sample size adjusts too.
The second tab “Survey Dashboard” shows more details about the survey such as perception on the quality of different materials and products as well as product ratings.
More importantly, this dashboard includes filters to empower users adjust the level of analysis. For example, using this dashboard you may be interested in a report showing respondents with an income of “less than $20K” in “United States”. You can extract such a report by simply selecting the details on the filters as shown below.
Note: The dashboard has tooltips (UI elements that provide additional information) that provide more context when you hover on the charts and graphs.
Conclusion
Survey dashboards are essential for efficiently managing survey data, enabling organizations to derive actionable insights quickly and effectively. By leveraging these tools, businesses can enhance their decision-making processes and improve overall performance based on real-time feedback from their stakeholders.
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