There is a workforce inside your agency that nobody talks about. They do not appear on your org chart. They are not listed in your company overview. But they consume more collective hours than any team you employ.
They are the hours your project managers spend reading supplier emails. The hours spent copying CPIs from PDFs into spreadsheets. The hours spent writing negotiation emails with no data, just experience and instinct. The hours spent chasing suppliers for live fieldwork updates that should be visible in a dashboard.
In a mid-size market research agency running twenty concurrent studies, these hours accumulate to somewhere between forty and eighty hours per week. That is one full-time employee — sometimes two — doing nothing but administration. Not research. Not analysis. Not the work that your clients pay you for. Administration.
“Your most experienced people are spending most of their time on work that requires no experience.”
Where the Hours Actually Go
To understand the scale of the problem, it helps to trace a single project from commission to close. The research itself — the questionnaire, the analysis, the reporting — represents perhaps thirty percent of the total project hours. The remaining seventy percent is operational: supplier coordination, quality management, monitoring, and administration.
Consider the RFQ process alone. A project manager needs to source sample from five suppliers. She writes five separate emails — or a mass email that feels impersonal and gets lower response rates. She waits. Quotes arrive over two or three days, each formatted differently. She reads each one, extracts the relevant pricing information, and builds a comparison spreadsheet by hand. She evaluates each against the client budget. She decides who to negotiate with. She writes negotiation emails — one per supplier, each slightly different. She waits again. She receives counter-offers. She responds.
This process — from sending the initial RFQ to having confirmed, agreed pricing from all suppliers — takes between six and twelve hours per project. For an agency running twenty studies simultaneously, that is potentially two hundred and forty hours per month spent on a process that contains no research thinking whatsoever.
The Problem Is Not the People
The instinct when confronted with these numbers is to assume an efficiency problem: better templates, faster typists, more organised inboxes. This instinct is wrong, and acting on it makes things marginally better while leaving the structural problem entirely untouched.
The structural problem is that the market research industry has never built an operational infrastructure layer. There are excellent tools for writing surveys. There are sophisticated platforms for analysing data. There are powerful dashboards for presenting findings. But the layer between the client brief and the clean dataset — the supplier management, the negotiation, the quality control, the monitoring — has no purpose-built software. None.
Every other industry with a comparable supply chain complexity has built this layer. Logistics has freight management systems. Finance has trading platforms. Manufacturing has supply chain management software. Market research has email.
“Every other industry with comparable supply chain complexity built the infrastructure layer. Market research has email.”
What This Costs Beyond the Hours
The direct cost — the wasted hours multiplied by average PM salary — is significant. But the indirect costs are larger and less visible.
- Quality degradation: When PMs are overwhelmed by administration, quality checks get compressed. Soft launch review windows shrink. Supplier performance anomalies go unnoticed until they become client complaints.
- Institutional knowledge loss: Every negotiated supplier rate, every quality pattern, every performance insight exists in someone's inbox or memory. When that PM leaves — and they leave precisely because the job is this exhausting — the knowledge leaves with them.
- Strategic blindness: Agencies running on manual operations have no aggregate view of their supplier network performance. They cannot see which suppliers consistently overprice. They cannot identify quality trends across projects. They make strategic decisions about supplier relationships based on impression rather than data.
- Growth ceiling: An agency whose operations are manual can only grow as fast as it can hire project managers to absorb the volume. This creates a hard ceiling on revenue per employee — and a ceiling on margins, because every new study requires proportionally more operational overhead.
The Way Forward Is Not More Process
The answer is not a better process manual. It is not another layer of quality checklists. It is not a project management tool that was built for software development and repurposed, awkwardly, for research operations.
The answer is infrastructure built specifically for how market research fieldwork works. Infrastructure that understands what a CPI is, and why it matters. That knows the difference between a soft launch and a full launch. That can read a supplier quote email and extract the pricing without a human being involved. That can monitor sixteen concurrent studies in real time without a PM refreshing a spreadsheet.
The hidden workforce inside your agency is not a cost to be managed. It is a problem to be solved. And the problem, for the first time, has a solution.
SoftSight — automates the operational layer of market research fieldwork — from AI-powered quote parsing to real-time monitoring. softsight.io