A live fieldwork project is, by its nature, a real-time event. Respondents are completing surveys. Quota cells are filling. Supplier performance is varying. Quality signals are appearing. All of this is happening, continuously, from the moment a study goes live until the moment it closes.
In most agencies, none of this is visible in real time. The picture assembled from email updates, periodic platform checks, and supplier-reported figures is a delayed, partial, supplier-mediated view of what is actually happening.
The Information a PM Needs vs. The Information a PM Has
| What PMs Need | Real-Time Value | What They Currently Have |
|---|---|---|
| Completes vs. target | Real-time count of completions against total target | Email from supplier, 2–4 hour lag |
| Quota cell fill rate | % fill per demographic cell (age, gender, region) | Manual spreadsheet check, daily at best |
| Fraud rate by supplier | % of respondents flagged as fraudulent, per supplier | Post-fieldwork data cleaning only |
| Actual vs. negotiated CPI | Running cost per complete against agreed rate | Post-project reconciliation only |
| Completion velocity | Current rate of completions, projected close date | Not tracked in real time |
| Quality anomalies | Unusual patterns in response data signalling issues | Post-fieldwork QC only |
The gap between needed and available information is not a gap in the data — the data exists. It is a gap in aggregation, automation, and presentation. The information required to monitor a fieldwork project in real time is generated continuously by every respondent interaction. What is missing is the infrastructure to collect, combine, and display it.
The Cascade Cost of Delayed Detection
The consequences of delayed visibility compound quickly. A supplier whose completion rate has dropped significantly may be experiencing panel fatigue, a technical issue, or a change in their respondent sourcing practices. Detected within hours, the issue is manageable: redirect traffic to a backup supplier, adjust quotas, inform the client proactively.
Detected after two days — when the PM notices the quota is behind and starts making phone calls — the options are worse. Backup suppliers may not have capacity at short notice. The study timeline has already slipped. The client contact who needed the data by Thursday already knows there is a problem.
SoftSight — AI Project Manager provides real-time fieldwork monitoring across all suppliers. softsight.io