Removing Respondents

Not yet available to DIY users: This feature is currently available only to select customers. If you have questions about access, setup, or support, please reach out to your Glass representative.

There are a few reasons you might want to remove respondents from your dataset. Some removals are for data quality issues — to exclude responses that don’t meet your standards — while others are for balancing purposes, such as managing over-quota groups or ensuring your final sample reflects your desired mix.

Glass makes it easy to remove specific respondents from your dataset while keeping a clean record of your changes.

Removing respondents does NOT automatically relaunch your survey. Please ensure your survey is launched and set to IN FIELD in order to collect additional respondents.

If you’ve identified respondents who should be excluded due to poor data quality (for example, speeding, straight-lining, gibberish open-ends, or inconsistent responses), follow these steps:

1. Identify Respondents

   • From your data file, locate the Respondent IDs in Column A.

   • Copy the IDs of all respondents you want to remove.
     

2. Remove in the Platform

   • Go to your project page in Glass.

   • On the left sidebar, click Manage Responses.

   • Paste the Respondent IDs into the Quality Issue box.

   • Click Remove Respondents and confirm when prompted.
     

3. Review Updated Data

   • Wait for processing to complete.

   • Go to the Analytics tab to view your updated metrics and download new cross-tabs or exports.

   • The removed respondents will no longer appear in your tables, counts, or visualizations.

In some cases, you may have more completes than needed or want to balance certain demographic cells (for example, to even out gender or age group totals). These removals are not related to quality — they are simply to align your data with your target sample design.

📝 Step-by-Step Instructions

1. From your data file, copy the Respondent IDs of the over-quota respondents.

2. In Glass, go to Manage Responses.

3. Paste the IDs into the Not a Quality Issue box.

4. Click Remove Respondents and confirm the removal.

Note: Respondents removed for over-quota reasons are excluded from your analysis but are still counted for billing.

• Always save a copy of your raw dataset before removing respondents.

• Keep a record of which IDs were removed and why (quality vs. balancing).

• After removal, re-check your quotas and cross-tabs to confirm everything aligns with your intended sample.

• For more on soft launch cleanup and data quality monitoring, see the Soft Launching Best Practices page.