Products · FieldworkOS · The supplier lifecycle platform for online fieldwork
Sourcing online sample at scale has always forced a trade: speed, volume, or quality — pick two, then hire your way out. FieldworkOS breaks the trade by reading the inbox, negotiating the CPIs, verifying the launches, and watching every metric — so capacity comes from automation, not headcount.
Coordination grows with every concurrent study — more supplier threads, more links to test, more dashboards to watch. A PM’s week doesn’t. So throughput hits a wall, and the only lever left has been headcount.
Coordination hours vs concurrent studies · illustrative
Email triage & transcription
daily
Quote comparison rebuilds
per bid
Link setup & test-ID swaps
per launch
Dashboard refreshing
all day
Reconciliation archaeology
per close
None of this is judgment work. All of it scales with study count — and all of it is what FieldworkOS takes off the desk.
At scale
01
Ten concurrent studies means hundreds of supplier emails a week — quotes, counters, redirect URLs, test IDs. Something important is always buried in thread 47.
With FieldworkOS
An AI listener reads every supplier email and structures it — quotes mapped to the right survey, links and test IDs captured, threads summarised. The inbox becomes a data feed; ambiguous cases, and only those, surface for a human.
At scale
02
Your best negotiator can't be on every thread. As volume grows, more CPIs are settled by whoever's least busy — and margins drift study by study, PM by PM.
With FieldworkOS
Seniors set the strategy — posture and target CPI range — and the engine executes it on every thread simultaneously, backed by pricing history and supplier profiles. Your margin target becomes the constant, not the exception.
At scale
03
Every supplier on every study needs links generated, test IDs swapped, redirects verified — serial, error-prone copy-paste that gets rushed exactly when volume peaks. Rushed setup is how broken launches happen.
With FieldworkOS
Setup runs automatically the moment a price is agreed — links built, tests verified, per supplier, in parallel. Go-live is gated on proof, so speed never ships a broken redirect.
At scale
04
In-field vigilance is a PM refreshing supplier portals between emails. Past a handful of studies, problems are caught hours late — or after field close, when it's too late to re-field.
With FieldworkOS
A monitoring engine computes every supplier’s metrics on schedule — terms, quality fails, incidence vs bid, geo/device mismatch, duplicates, verbatim fraud — and interrupts you the moment a threshold slips. Vigilance stops being a function of free attention.
At scale
05
The more cells you run, the more likely one is silently stalling — and the less likely anyone notices before the deadline. Under-delivery and over-delivery both cost you.
With FieldworkOS
The quota engine tracks every cell across every supplier and raises slow-progress alerts days before the deadline — and completion signals the moment cells fill, so traffic stops before you buy completes you can’t invoice.
At scale
06
Which supplier actually delivers B2B in Germany at 15% IR, and what a fair CPI looks like, lives in senior PMs' heads. Every departure resets the team; every new hire re-learns it the expensive way.
With FieldworkOS
Every project enriches supplier profiles — quality rates, delivery reliability, negotiation behaviour — and a benchmark layer prices the market. The next bid round starts from data, whoever runs it.
More studies / PM
Each PM carries materially more concurrent projects when the routine coordination — inbox, links, dashboards — runs itself.
Days → minutes
Close-out shrinks from days of email archaeology to a computed reconciliation with the evidence trail attached.
Consistent margins
Negotiated outcomes hold across the whole team, because the strategy is executed by the system — not by whoever's on the thread.
We’re measuring throughput, brief-to-live time, and margin consistency with our beta cohort — real numbers from real studies, published as the cohort completes.
Control panel · Q2 Brand Tracker
Completes vs plan
1,284
of 1,650 · on pace
Incidence vs bid
31%
bid 30% · holding
Margin vs target
31.6%
target 28%
Spend vs ceiling
68%
$5,412 of $8,000
12 suppliers
9 suppliers · 1 paused
9 suppliers
One project, three surveys, thirty suppliers — one glance
The control panel
Completes vs plan, incidence vs bid, margin vs target, spend vs ceiling — per survey, per supplier, rolled up per project. When the client calls asking “where are we?”, the answer is one screen, not four portals and an inbox.
Suppliers · US-HEALTH-001
PanelCo
CleanSampleNow
IR below bidGlobalPanel
Paused · speedersResearchPro
CleanAI thread summary · GlobalPanel
Agreed $5.10 after two counters. Flagged for speeder rate at 09:14 and auto-paused; supplier acknowledged and is re-screening. Awaiting confirmed retest before resume.
Every source — pace, flags, spend, and one-click pause
The supplier dashboard
Pace, IR, drop-off, quality flags, CPI and spend for every source — with one-click pause, in-field CPI control, and an AI summary of each supplier's thread so nobody re-reads email history to know the state of play.
Alerts · live
Speeder rate 18% · GlobalPanel auto-paused
12s agoSurveyGuard · 7 AI-written verbatims rejected before accept
1m agoGeo mismatch · 6 respondents held out of valid counts
6m agoQuota pace · Female 55+ won't hit deadline · 3 days' warning
22m agoGo-live gate cleared · ResearchPro · 4/4 redirects verified
1h agoDuplicate fingerprint · PanelCo · 2 matches blocked
2h agoQuality, fraud, geo, pace, go-live — the system interrupts you
Alerts & monitoring
A speeder spike auto-pauses the source. SurveyGuard flags AI-written verbatims before completes are accepted. A geo mismatch is held out of valid counts. A slow cell is flagged with days to spare. This is what vigilance looks like when it doesn't depend on a human refreshing dashboards.
Quota cells · US-HEALTH-001
373 / 550 · live
Male · 18–34
62/100
Male · 35–54
100/100
Male · 55+
31/75
Female · 18–34
88/100
Female · 35–54
54/100
Female · 55+
38/75
Cell-level fill, tracked live across all suppliers
The quota engine
Gender, age, region — fill tracked in real time across all sources, with slow-progress alerts before stalls become crises and completion signals before over-delivery becomes cost.
Going faster with fewer hands only works if control gets stronger, not weaker. FieldworkOS is built so juniors get guardrails and directors get oversight.
Approval gates on material decisions — the system escalates what needs judgment, and only that.
A state machine that enforces rules — no launch before link tests pass, no resume before a confirmed retest.
Everything logged — every AI extraction, negotiation step, verification, alert and state change, on record for clients, QA and auditors.
Role-based access with optional enterprise SSO.
Your fieldwork team stops coordinating — and starts overseeing. That’s the whole shift: the routine work runs at machine pace, and your people spend their judgment where it’s actually needed.
The net effect · FieldworkOS
The fastest way to evaluate FieldworkOS is on a real study — your suppliers, your survey platform, your quality standards. A 30-minute walkthrough by someone who has run the workflow you’re trying to leave behind.
FieldworkOS Beta · 10 seats
A small cohort of agencies is running FieldworkOS on live projects right now — with guided onboarding, a direct line to the team, and real influence on what ships next.
Apply for a beta seatField notes on the manual operations work that quietly drains margin — and what changes when it runs itself.
