What is the Metrics tab?
The Metrics tab is where you can review the status of your results after you start collecting responses. You can review the results overview, response metrics, and the distribution of quality scores for respondents, and you can go to the Analysis tab to begin analyzing your results in detail.
Configuring the Metrics Tab Screen
① Metric
You can check the status of the response collection results for the edited survey. The number of collected responses, response period, average number of questions answered by respondents, and average response time are displayed.
Number of responses: Displays the number of responses collected so far. Data-cleaned responses are also displayed in the Response tab of Analysis .
Response Period: This shows the response collection period, which tells you how many days in total you had to respond, as well as the response start and end dates. The response start date is when you first responded, and the end date is when you last submitted a response.
Number of Questions Responded: The average number of questions answered by each respondent is displayed. It also shows the minimum number of questions answered, the maximum number of questions answered, and the median, which is the center value when sorting the number of questions answered by each respondent.
Response Time: This displays the average time it took each respondent to respond to all the survey questions. It also displays the minimum response time, maximum response time, and the median, which is the center value when sorting the times for each respondent.
Additionally, you can hover your mouse over the clock icon next to the Metrics tab title to see the update status.
② Response Metrics
You can view the response status by collection group created in the Collection tab in the form of a funnel. The number of people sent the survey by collection group, the number of people who entered the response screen, the number of people who completed the response, and the conversion rate by stage are displayed.
This allows you to adjust your collection target by predicting how many people will respond when you send out your survey to them, and also check which stage is causing a bottleneck when you are not collecting as many responses as you want.
Sent: This shows the number of people to whom the survey was sent. If the survey was sent via link or QR code, the number of people sent will not be shown.
Entry: This number shows how many people who received the survey started responding. This number includes people who started responding but then dropped out.
Entry rate: The ratio of the number of entries to the number of senders.
Completions: This number shows how many people who received the survey and started responding actually completed the final response. Those who started responding but then dropped out are not included in the completion count.
Completion rate: The ratio of the number of people who completed the response screen to the number of people who entered the response screen.
③ Distribution of response quality scores
This is a histogram that allows you to see the distribution of the response sincerity scores of the respondents who completed the response. The x-axis shows the response quality scores, and the y-axis shows the number of respondents who received each score. In the image below, you can see at a glance that there were 25 respondents who received scores between 95 and 100.
📌Make sure to know!
Response quality scores are evaluated based on Open Survey's unique algorithm that synthesizes data such as response time per question, distribution of evaluative responses, and number of insincere subjective responses.
The response integrity score is evaluated out of 100, with lower scores indicating less sincere responses. Responses from respondents who receive less than 70 points may be considered for data cleaning.
④ Go to Analysis
The Metrics tab only shows a simple status of the collected response results. Therefore, to analyze the collected response results in detail, you must go to Analysis. The [Go to Analysis] button becomes active only when at least one response is collected.
In the analysis, you can view the result data by variable type, and easily perform tasks such as cross-analysis between variables and creation of result reports even without knowledge of professional data analysis tools.