Clear search
Close search
Google apps
Main menu

View and export results

Google Surveys aggregates and analyzes responses from users and presents results in a simple online interface. You can view these results online or export these results to a spreadsheet.

In this article:

View and export results

Expand all Collapse all

How long before I will start to see results?

Your survey starts collecting responses minutes after it goes live. You’ll start seeing results in your online account once the data is processed, which usually happens in a matter of hours.

Please note that while we're still collecting results, you may see that your answers are coming predominantly from one age group, gender or source. This is due to our collection methodology and which sources we're able to collect from earliest, such as the Google Opinion Rewards mobile app. Your results should become more representative of your targeted population as they continue to come in. While you're encouraged to start looking at your results as soon as they're available, you shouldn't make any decisions until you've received the full data set.

How do I view my survey results?

To view your survey results:

  1. Sign in to Google Surveys.
  2. Click on the survey you want to view on the survey dashboard.
  3. Click on the text of any question to see individual question results. Keep in mind that the responses reported for each question include all users who answered that question, even if they did not complete the survey.
  4. Click on the inferred demographic segments on the lefthand pane to segment the data by: inferred age, gender, or geography.
  5. While your survey will start to collect responses immediately, you'll start seeing results once data has been processed, which usually happens in a matter of hours.
Why do I see more responses than I paid for?
The system errs on the side of collecting too much rather than too little data, so at times you may see a more responses than requested. However, you will only be charged for the number of completed responses you purchased. 
What happens if users don't answer all my questions or screen out?

You will not be charged for responses from users who only answer your screening question (without answering the follow up question) or who drop out midway through your survey.

Learn more about price per completed response

Why are there more responses on the survey results overview page but fewer in the question results page?

The question results page defaults to weighted results. The weighting can be switched off in the survey results settings. The survey results page shows raw responses to the survey.

Google Surveys uses post-stratification weighting to compensate for sample deficiencies. Although Google Surveys attempts to build an optimal allocation of respondents to each question over the life of the survey, this is not always possible in practice due to additional constraints such as completing the survey in a timely manner, publisher inventory at the time, and competition with other surveys. Thus, post-stratification weighting is used to reduce this sample bias.

How can I export my data?

To export your data:

  1. Sign in to Google Surveys.
  2. Click on the survey you want to view on the dashboard page.
  3. Click on the text of any question in the overview to see individual question results.
  4. Click Export data to Excel. This sends an Excel file to the email address you're signed in with.

Note that exported data will only include inferred demographic information on age, gender, and geography.

What data will be included in my export?
Your exported file will include multiple tabs: overview, topline, complete responses, all responses, and cross-tabs. These contain the following data:
  • Overview: This tab provides a general overview of your question text, answers, and counts of responses received.
  • Topline: This tab provides a breakdown of answer proportions for each of your survey questions. The data here includes all incomplete responses.
  • Complete responses: This tab contains responses from users who answered all questions in your survey. The columns included in this tab are:
    • Time: Date and time in UTC, in the format 2012-11-16 17:22:39.
    • Gender: Inferred gender - Male, Female, or Unknown.
    • Age: Inferred age bucket - 18-24, 25-34, 35-44, 45-54, 55-64, 65+, or Unknown.
    • Geography: Inferred location encoded as a string with [Country]-[Region]-[State]. For example, US-WEST-NM-Albuquerque.
    • Urban density: Inferred urban density - Urban, Suburban, Rural, or Unknown.
    • Income: Inferred income - $0-$24,999, $25,000-$49,999, $50,000-$74,999, $75,000-$99,999, $100,000-$149,999, $150,000+, or Unknown.
    • Weight: The weighting applied to this response to match the CPS demographics. For follow-up questions to screening questions, the weight column includes the total weight to match the CPS and an additional weight to match the makeup of the respondents who answered the target answers to the screening question. Note that for exported data, weight is only available for complete responses.
    • Answer: The respondent’s answer to this question.
    • Response Time: The amount of time in milliseconds it took the respondent to provide an answer to that question.
  • All responses: This tab contains responses from users who answered at least one question in your survey, even if they screened out or dropped off before completion. The tab contains all of the columns as in the complete responses tab with one additional column:
    • Survey Completion: Defines whether a respondent completed all questions in a survey (Complete), screened out (Screen-out), or dropped off but didn't screen out (Partial).
  • Cross-tabs: This tab provides a cross-tabulation analysis for users who answered all questions (i.e. complete responses) in your survey.

For more information on weighting and the GCS methodology, see the methodology.

Can I do cross-tab analysis within the survey results page?

Cross-tab analysis is used to see how different groups of users answered your survey questions. You can export the data to a spreadsheet and see the cross-tab or you can do it online.

Let's say you're starting a dog toy company. You want to better understand the relationship between price and qualities people look for in the toys they buy for their dog. You ask the following questions:

  1. Do you own a dog?
    1. Yes (target answer)
    2. No
    3. I prefer not to say
  2. Which quality do you look for most when purchasing a dog toy?
    1. Durability
    2. Quality
    3. Price
    4. Interactive
    5. Material
  3. When purchasing a toy for your dog, what is the maximum amount you expect to spend?
    1. $1 - $5
    2. $6 - $10
    3. $11 - $15
    4. $16 - $20
    5. $21+

To analyze how different users felt about price in comparison to qualities, follow these instructions:

  1. Sign in to Google Surveys.
  2. Click on the survey you want to view on the dashboard page.
  3. Click on the text of any question in the overview to see individual question results.
  4. Under Comparisons click Another question.
  5. Select which question you'd like to compare to.
  6. The results bars at the top will give you a graphic representation comparing the two questions.
  7. The chart at the bottom will provide a results chart comparing the two questions.
  8. You can also add additional layers, such as age or gender, to continue to analyze the data or add demographic filters to restrict answers from a specific population of users.
A note for Google Surveys 360 customers
For surveys that are targeted by zip code or with geo-fencing, the smallest dimension must have at least five responses. If a given dimension does not have at least five responses that match to it, then filtering options will be disabled. If additional layers of filters (age, gender) allow a user to deduce information about the smallest dimension, those may also be disabled.
Was this article helpful?