Open Network
Reach the audience no single panel can fill
The question it answers
“Who can even reach this audience?”
Rare and specialist cohorts are scattered thin across dozens of suppliers. This is how you find the ones who actually hold them.
Use cases · By team · Five kinds of research operation
Three products, one job. Who you are decides which one you reach for first.
Get the right people into your research, and keep everyone fake out. An insights lead, an agency ops director, a solo consultant and a panel company all want that, and they all hit it from a different side. Find your team below.
The three products
Reach the audience. Run the suppliers.
Protect what comes back.
Each one solves its own problem and can be adopted alone. Together they cover the whole arc from “who do I even ask?” to “is this respondent real?”
FieldworkOS
Run every supplier from one screen
The question it answers
“How do I run them all without drowning?”
Past two or three suppliers, coordination becomes the job. This is how the ninth supplier costs what the first one did.
SurveyGuard
Stop fraud at the door, not at reconciliation
The question it answers
“Is the data coming back actually real?”
Fraud concentrates exactly where completes are most expensive. This is how it gets stopped before it enters.
Written for five teams
The same three products, felt from five sides.
Every use case below is written in the language of the team that has it, and tagged with the product that does the work.
Client-side insights teams
Brand and enterprise insights leaders who commission research and answer for the data internally.
You care most about
Defensible data, speed to answer, and not being embarrassed in front of the board or a regulator.
Start with
SurveyGuard. Your name is on the data's integrity.
Certify that your data is real before you present it
Before a product-launch or pricing study reaches the leadership deck, SurveyGuard has already blocked fraudulent respondents at the entry point. You can say no fabricated record reached the dataset, rather than that most of them were cleaned out afterwards.
Commission a hard audience without hearing “not feasible”
When a specialist or low-incidence audience is too rare for your usual supplier, the Open Network reaches it across named suppliers whose standing was built from studies that actually fielded, so the study happens at all.
Get an audit trail your methodology can survive
Regulated and high-scrutiny work in healthcare, financial services and public policy has to show who was sourced, from where, and what happened in field. FieldworkOS produces that record as a by-product of running the study.
Know your sample came from named sources, not an anonymous pool
On reputation-sensitive research, supply that stays named and attributed respondent by respondent is the difference between a methodology you can defend and one you have to apologise for.
Trust the number even under commercial pressure
SurveyGuard's fraud thresholds do not soften for big-spending buyers. The data you are acting on was not quietly compromised to hit somebody else's completion target.
Full-service MR agencies
Firms running many concurrent studies across many suppliers, under client deadlines.
You care most about
Shipping on the promised date, protecting margin, and keeping project managers on strategy instead of on email.
Start with
FieldworkOS. Coordination is your daily bottleneck.
Close the last quota cell
The study is 92% complete and 0% delivered because one rare cell sits at 31 of 75. No single supplier holds the missing respondents, but four together do. FieldworkOS makes adding those four cost what adding the first one did: one RFQ, AI-parsed quotes, onboarding that proceeds on its own when a rate lands inside your bounds.
Answer “where is every supplier right now?” in one glance
The inbox, the three spreadsheets and the WhatsApp thread become one live state per supplier per survey: RFQ sent, negotiating, awaiting test IDs, live, paused, reconciling, invoiced.
Hit the two-week turnaround
The pre-field week is the whole risk on a tight window. Compressing the RFQ round, quote parsing, negotiation and link testing from days into hours means the field days get spent fielding.
Give project managers their day back
AI parses every quote at high confidence, and only edge cases reach a human, pre-structured for one-click review. Hours of triage become a short queue.
Stop paying for fraud on high-CPI audiences
On specialist B2B or healthcare studies each complete is expensive, and fraud concentrates there for exactly that reason. SurveyGuard blocks the bad respondent before entry, so you never field, pay for, or ship a fake.
Bid audiences you used to decline
With the Open Network for reach and FieldworkOS to run the resulting supplier set cheaply, “not feasible” audiences become winnable briefs.
Bill the rate you agreed
Respondent-level rate tagging means a mid-field CPI jump on one hard quota cannot silently rebill the whole study.
Independent researchers & consultants
Solo practitioners and small shops who run studies without a large operations team behind them.
You care most about
Punching above your weight: running real fieldwork without the infrastructure a big agency has.
Start with
FieldworkOS. It is the operations team you do not have.
Run multi-supplier fieldwork alone
Without a project management team, coordinating even three suppliers by hand is a full-time job. One RFQ, parsed quotes and one state view do the coordinating for you.
Reach audiences bigger than your rolodex
Your personal supplier contacts cap what you can field. The Open Network extends that reach to every vetted supplier in the directory, without you cold-sourcing each one yourself.
Deliver enterprise-grade data quality
A solo consultant can hand a client the same fraud assurance a large agency gives, because SurveyGuard runs at the door regardless of team size.
Look bigger than you are
A clean audit trail and certifiable data integrity let a one-person shop compete for work that used to require an agency's apparatus.
Sample suppliers & panel companies
Panel owners who extend beyond their proprietary panel through partner networks.
You care most about
Margin in the spread between client CPI and partner CPI, and keeping partner-sourced quality high enough to protect your name.
Start with
FieldworkOS. Your partner layer needs a system.
Run your partner layer as a system, not an inbox
When a hard quota pushes a study past your own panel and into partners, FieldworkOS coordinates that layer: one RFQ across partners, quotes parsed, states tracked, instead of manual email.
Enforce your tiering in field, not after it
Per-partner quality thresholds pause one partner on a breach without stopping the study, so the tiering you promise clients is enforced while field is still open.
Protect the margin in the spread
Respondent-level rate tagging catches a partner moving CPI mid-field on the hard stretch, which is the rebill that otherwise comes straight out of your margin.
Keep partner-sourced respondents clean
SurveyGuard at the door means fraud entering through a partner never reaches your client's dataset, which protects the quality your brand is built on.
Healthcare, pharma & specialist researchers
Teams whose audiences are rare and expensive, and whose data faces the highest scrutiny.
You care most about
Reaching a tiny qualified population, and defending every respondent's authenticity afterwards.
Start with
Open Network. Reaching the audience is the hard part.
Field a low-incidence clinical audience at all
Rheumatology nurses in tier-2 cities, or a rare-condition patient cohort, exist in no single panel. The Open Network assembles the reach across named suppliers who each hold a part of it.
Never re-burn an irreplaceable pool
At 8% incidence, sample you lose is sample you cannot buy again. In-field monitoring surfaces an over-terminating screener or a sourcing problem in the first hour rather than the second week.
Prove authenticity for a specialist claim
A “cardiologist” complete at specialist CPI attracts exactly the fraud a cheap complete does not. Fifteen-plus checks at the door and a cross-ecosystem reputation graph keep the misrepresented respondent out.
Hand reviewers a clean chain
For work facing medical or regulatory review, named supply, an auditable field record and certifiable data integrity are the whole ballgame.
Which product first
All three work alone. Who you are decides where you start.
Together they cover sourcing a study, running it, and protecting what comes back. Nothing here has to be adopted in order.
| If you are | Start with | Because |
|---|---|---|
| Client-side insights | SurveyGuard | Your name is on the data's integrity. |
| Full-service agency | FieldworkOS | Coordination is your daily bottleneck. |
| Independent researcher | FieldworkOS | It is the operations team you do not have. |
| Sample supplier | FieldworkOS | Your partner layer needs a system. |
| Healthcare / specialist | Open Network | Reaching the audience is the hard part. |
Want to see all three on one study rather than product by product? The hard-to-reach sample walkthrough follows a single German healthcare study through six steps, from the shortfall to the reconciled invoice.
All three products, one study
Need 500 healthcare professionals in Germany? Your panel delivers 180.
The end-to-end walkthrough follows one difficult audience through six steps: sourcing named suppliers with proven reach, bidding and allocating across them, monitoring pace and incidence, scoring every respondent, pausing what fails, and reconciling what was actually delivered.
- Target
- 500 HCP · Germany
- Your panel delivers
- 180
- The gap
- 320
- Products involved
- All three
- Steps in the walkthrough
- 6
See it on your own work
Start wherever your work is breaking.
Nothing here has to be adopted in order. Tell us what your team ran into on the last hard study and we will walk through the product that covers it, on your own work rather than on a demo dataset.