What Is the Response Tab?
The Response tab is a space where you can review and manage collected individual response data in detail.
Here, you can review each respondent's actual answers one by one, and also perform 'data cleaning' — directly selecting and hiding insincere or erroneous responses. This process helps prevent statistical results from being distorted and establishes a foundation for conducting analysis with more reliable data.
When Do You Need the Response Tab?
✅ When you need to improve the reliability of data
"It seems like some people in the response data answered carelessly without properly reading the questions. How can I exclude these insincere responses and use only clean data for analysis? 🧐"
🧙 Here's how you can use it
Check the sincerity score: The Sincerity Score — calculated using Opensurvey's proprietary algorithm — lets you quickly identify insincere respondents.
Data cleaning feature: You can exclude erroneous responses, profanity, or illogical responses from analysis (hide them) in just a few clicks.
✅ When you want to see the specific response context of individual respondents
"Overall statistical results are important, but I'm curious about the flow of how a specific respondent answered each question in context. Is it possible to look closely at each person's responses in detail? 🧐"
🧙 Here's how you can use it
View Response Details: Select a specific respondent to review the answers they left across the entire survey in detail on one page.
Load variables: In addition to basic information, add profile data or metadata to the table to understand a respondent's characteristics from multiple angles.
Key Features and How to Use Them
1️⃣ Response settings and download: Optimizing your work environment
An area for adjusting how data is displayed in the table and extracting data to an external file as needed.
Response settings bar: Check the number of valid and hidden responses, and configure settings such as value label display, cell height, and column width to make data easier to view.
Data download and sharing: Download the current table as a CSV file — with variables configured exactly as shown — to perform additional analysis or processing in external tools such as Excel. You can also send results to Salesforce via the 'Export' feature, or generate a public link to easily share results with team members.
2️⃣ Response table: Reviewing raw data
An area for viewing and comparing data from all survey respondents at a glance. You can examine each respondent's answers in detail and inspect the data status.
Check response status: Immediately confirm whether a response is a valid response or has been cleaned.
Load variables: Click the 'Load variables' button to add various variables to the table for a broader view of response data.
Sincerity Score: Use the sincerity score — calculated on a scale of 0–100 using Opensurvey's algorithm — to decide whether to include a response in analysis. (It is generally recommended to review the content of responses below 70 points and consider whether to exclude them from analysis.)
Check key identifiers: Use the response's unique ID (rd_id) and response completion time to accurately distinguish and manage each piece of response data.
3️⃣ Cleaning and status bar: Refining data with precision
An area for excluding specific responses from analysis and managing collection status against targets.
Data cleaning bar: Enter the reference identifier and reason (insincere, profanity, etc.) for the responses to exclude, allowing you to clean data transparently.
View response status: Compare the target response count and current valid response count by collection group in table format to manage your survey collection status.
Have you got a good understanding of the Response tab?
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