No flags on this file’s rules
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.
Tracker wave 3 · 1,800 completes
Three decisions. A reason for each.
Select a tier to inspect example respondents.
Too fast vs this sample’s floor (2m 10s)
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.
- 01
Set the rules for this study
Upload the SPSS file, choose which checks apply and point to your own trap-question fields.
- 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.
- 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.
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.
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.
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.