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.

1

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.

2

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.

3

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.

Export & clean later Respondent Manager
Review respondents in-platform
Quality benchmarked against your own sample
Combine multiple quality criteria at once
Bulk include or exclude in one action
Excluded respondents drop out of quota
Bot & automation signals built in
Decisions captured and reviewable later
Manual cleanup in a separate tool

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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