Respondent Manager
See every respondent.
Keep only the good ones.
Respondent Manager is GroupSolver's data-quality control panel. Review every complete against a rich set of quality signals, then exclude the ones that don't make the cut — without manually re-counting your quota.
No deck, no pitch — just the platform answering your questions.
Every
complete reviewed against quality signals
In-platform
no exports, no separate cleaning tools
0
excluded respondents counted against quota
1-click
bulk include or exclude on selected rows
How it works
From raw completes to a dataset you trust
Open the Respondents tab on any study, focus the view on the signals that matter for this fielding, and clean the dataset in bulk. Your quota adjusts automatically.
Surface the right signals
Every study captures a rich set of quality signals — behavioural, timing, attention, and panel-level. Bring forward the ones that matter for this fielding and arrange the view so problems are obvious at a glance.
Narrow to the rows that matter
Combine quality criteria to isolate the respondents who deserve a second look. Expand any row for the full picture of how that person moved through the study.
Include or exclude in bulk
Move selected respondents between Included and Excluded with a single action. Excluded respondents drop out of your collected completes — no need to top up the requested sample size to compensate.
Capabilities
A full data-quality workbench, built into every study
Attention checks
Spot respondents who didn't engage with the study seriously, and review exactly where they slipped before deciding whether to keep them.
Timing & pacing
Every complete is benchmarked against the rest of the cohort, so unusually fast or slow respondents stand out without arbitrary thresholds.
A view tuned to each study
Configure the workspace per project: show only the signals that matter for this fielding, hide the rest, and keep the layout for next time.
Flexible filtering
Combine multiple quality criteria to isolate exactly the respondents you want to review — no exports, no spreadsheets, no scripting.
Bulk actions
Act on a whole cohort at once. Hand a list of flagged IDs from a partner or client review straight to the manager and resolve it in one step.
Bot & automation signals
Automated and tampered sessions are flagged so suspect cohorts can be removed before they pollute your results.
Open-ended answer quality
Surfaces respondents who treated open-ended questions as click-throughs — so the qualitative side of the study isn't dragged down by low-effort input.
Panel-level visibility
See quality by source. Compare suppliers, isolate specific cohorts, and back up replacement or chargeback conversations with the data already in the platform.
Quota stays accurate
Excluded respondents are removed from your completed-quota total, so you no longer have to over-recruit to compensate. Include them back any time.
Who it's for
When data quality decides whether the study ships
Project managers
Hit clean quotas without over-recruiting
Exclude bad completes before they count toward the requested sample size. No more buying 20% extra panel just to absorb expected fraud and speeders.
Quant analysts
Cross-tab on data you trust
Confidence in segment-level findings depends on clean inputs. Remove low-quality completes before analysis starts, not after the deck is built.
Panel operations leads
Hold suppliers accountable, panel by panel
See quality outcomes by source. The evidence you need for chargebacks or replacement requests is already in the platform.
Insights agencies
Defensible quality for client deliverables
Show clients exactly which respondents were excluded and why — every decision is captured and reviewable, not buried in a spreadsheet.
Field directors
Catch problems while fieldwork is live
Review quality mid-fielding, not after close. Pause routing or replace panel before the quotas fill with respondents you'd rather not have.
Research operations
One repeatable quality workflow
Apply the same standards across every study in your portfolio — without writing scripts, exporting data, or building custom dashboards.
Why Respondent Manager
Quality control that lives where your data does.
Traditional fieldwork puts data cleaning at the end — after the export, in a separate tool, by a separate person. Respondent Manager makes it a first-class part of running the study.
Ready to see Agatha?
Book a 30-minute demo with our research team. No deck, no pitch — just the platform answering your questions.
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