Fraudulent completes — direct cost
Every fraudulent respondent who passes QC is paid for at the agreed CPI. The most direct, most quantifiable fraud cost.
Six fraud-cost levers, priced against your own numbers. See what fraud costs your agency today — before, during, and after fieldwork — and what SurveyGuard recovers.
Fraud cost dimensions
6 levers
False positive rate
< 1%
Per-respondent verdict
< 200ms
Unlike the FieldworkOS calculator (operational time and CPI), this focuses entirely on the data-quality cost dimension. Tune the inputs — the six levers recompute live.
Section A
Spend, CPI, fraud rate, and what your current QC catches. These drive every fraud-cost lever.
Median cluster $250K–$500K for mid-size agency PMs.
5/8 PMs reported $3–5. Default $4.50.
~22% with basic speed + attention checks; ~45% unprotected.
6/8 PMs use basic QC only — catches ~40–50%.
Section B
Headcount and how fast studies turn over — sets cleaning labour and re-field volume.
Everyone who spends time on fieldwork QC and reconciliation.
Drives the post-field cleaning labour cost (F4).
Combined with field duration to derive annual study volume.
Shorter fields → more studies/year → more exposure.
Section C
How often fraud forces a re-field, and how often a mid-study CPI change quietly inflates billing.
6/8 PMs reported re-fields. ‘2–3/year’ most common ≈ 12%.
3/8 PMs quantified at $5K–$10K. Default $7,500.
Archit reported 10–25%. Conservative default 20%.
Section D
The most variable lever — client-facing quality events that reach delivered data.
Set to 0 if you’ve had no recent client quality events.
Sample + PM + reporting + margin for a mid-size study.
SurveyGuard · fraud cost
Six fraud-cost levers. Set your inputs on the left, then run the numbers — results stay hidden until you calculate.
Your full ROI breakdown appears here once you calculate.
Calibrated from 8 primary PM responses
Every fraudulent respondent who passes QC is paid for at the agreed CPI. The most direct, most quantifiable fraud cost.
When fraud contaminates a dataset beyond repair, the study is re-run. 6 of 8 PMs reported re-fields; 5 of 8 quantified them at $5K–$10K each.
Fraudulent respondents fill quota cells and turn genuine respondents away. The hidden cost post-field cleaning can never recover — prevention only.
6 of 8 PMs spend hours per study reviewing open-ends, removing speeders, and matching IDs. Salaried time SurveyGuard eliminates at entry.
Mid-study CPI changes plus fraud-inflated completion counts mean agencies overpay. 6 of 8 reconcile in manual Excel — a low catch rate.
When fraud reaches delivered data and a client raises a concern: re-work, credits, and renewal risk. The most variable lever — but the insurance value is real.
Every default is backed by a real answer from the 8 MR project managers who completed the SoftSight questionnaire. When a prospect challenges a number, every assumption has a source.
| Calibration input | Value |
|---|---|
Fraud rate with basic QC 7/8 PMs identified fraud types · industry ~22% with speed + attention checks | 22% |
Current QC catch rate 6/8 use basic QC only · speed + attention catches ~40–50% of fraud | 45% |
Average CPI 5/8 PMs reported $3–5 · validated default | $4.50 |
Re-fields driven by quality/fraud All quantified re-fields were quality-driven | 60% |
Re-field cost per event 3/8 PMs quantified at $5K–$10K · midpoint | $7,500 |
SurveyGuard re-field prevention Real-time detection prevents quota contamination before re-field | 75% |
Quota contamination rate Conservative — hard-to-reach cells contaminate more | 35% |
Cleaning hours per study 6/8 PMs spend 2–5 hrs post-field cleaning | 3.5 hrs |
Cleaning reduction with SurveyGuard Fraud caught at entry needs no cleaning; 30% non-fraud remains | 70% |
Mid-study CPI drift rate Archit 10–25% · conservative default | 20% |
Manual reconciliation catch rate 6/8 manual Excel · 1/8 trusted supplier blindly | 15% |
SurveyGuard Protect $18,000 / yr — most-popular tier modelled in this calculator | $1,500 / mo |
Twenty minutes in your browser. The walkthrough is run by someone who has lived the workflow you’re trying to leave behind — not a salesperson reading from a deck.