Survey GuardRespondent quality

Can we trust this sample?

Turn a raw SPSS export into CLEAN, REVIEW or EXCLUDE — with a reason for every flag. Personalise the rules, add your own trap questions and confirm who to drop before downloading the clean file.

Quality passIllustrative data

Tracker wave 3 · 1,800 completes

Three decisions. A reason for each.

Select a tier to inspect example respondents.

R-1091REVIEW

Too fast vs this sample’s floor (2m 10s)

R-1120REVIEW

Open-end on Q18 reads as AI-generated

Nothing is dropped until you confirm.

61 built-in checks · Missing inputs are reported as skipped checks.

A question, an analysis, a decision

Review the reasons before removing a respondent.

Illustrative quality pass · Tracker wave 3, with 1,800 completes.

  1. 01

    Set the rules for this study

    Upload the SPSS file, choose which checks apply and point to your own trap-question fields.

  2. 02

    Inspect the evidence

    An exact duplicate that failed Q12 is recommended for EXCLUDE. A respondent who is too fast against the sample’s floor goes to REVIEW, so you can read the reason.

  3. 03

    Make the final decision

    Confirm who to remove. Nothing is dropped automatically. Download the clean SPSS file, or keep the sample in Crowdmines for the next analysis.

A question, an answer and a recommended action sit behind each flag. You remain in control of the sample.

The deliverables

What you take away.

From the analysis to the next decision.

01

A respondent-level roster

A per-respondent tier — CLEAN, REVIEW or EXCLUDE — and a reason for every flag. A quality pass on the file you uploaded.

02

The reason behind each flag

See the question, answer and recommended action. Clear fraud is recommended for EXCLUDE; weaker or single signals go to REVIEW.

03

A clean SPSS file

After you confirm the exclusions, download the cleaned file or keep it in Crowdmines for analysis with the other tools.

Your workflow

From raw completes to a reviewed sample.

Set the rules, review the evidence, then decide what to keep.

01Upload and set the rules

A SPSS .sav is enough. Point to your trap-question fields and personalise which checks apply to this study.

02Read the reasons

Every respondent is CLEAN, REVIEW or EXCLUDE — with the question and answer that fired, not a single score.

03Download or keep going

Download the clean SPSS file, or keep the sample in Crowdmines and run it on the other tools — no re-upload.

Under the hood

Know what’s behind the result.

Explore the methods, checks and choices that shape the analysis.

When teams use this
  • The last wave had a fraud problem. We do not trust this one either.
  • We need to clean before we segment or run HB.
  • Open-ends look AI-written and no one has time to read them.
The quality pass

The sixty-one built-in checks are the floor. What makes a pass defensible is that you shape it to the questionnaire — and every decision arrives with a reason you can show a client.

Personalise the rules

Tune the roster to the study: which checks run, how strict they are, what your house standard already requires. One tracker’s “too fast” is not another’s.

Build your own rules

Add your own trap-question field — the attention check you already wrote into the survey. Your fail condition is scored with the rest of the pass, not as a side filter in SPSS.

Reasons, not a score

We do not justify a drop with a 0–100. Each flag names the question, the answer, and the recommended action. You see why this person is REVIEW or EXCLUDE.

What the recommendation means

You upload the .sav and get a roster back. Clear fraud — exact duplicates, failed traps — is recommended for EXCLUDE. Weaker or single signals land in REVIEW so you can read them. Nothing is dropped until you confirm. Then download a clean SPSS file, or leave it in Crowdmines and go straight into Segmentation, CBC, MaxDiff or Research Helper.

When a check cannot run

Each flag names the question, the answer, and what to do — keep reading, or recommend exclude. If a check cannot run (no timing, no trap field, too few rows), you see that it was skipped, not that the sample passed it.

Your rules. A reason on every flag.

Your rules, a reason on every flag, and a clean SPSS file you can download — or analyse next in Crowdmines.