What we do, how it runs
Sampling, operations, and validation — a delivery model you can audit. Every study runs on a named team, a written SLA, and a checklist you can see.
Three capabilities, one standard: data you can defend.
We find the right people, ask the right questions, and validate the answers. The difference is how it runs — a visible process, an owner for every stage, and a commitment that fits on one page.
Four ways we run your research
Jump to the service that matters, or read top to bottom.
Reach the respondents your study needs
A panel built for depth, fielded in the respondent's language. Feasibility and incidence are confirmed before you commit budget — if we cannot source the audience, we tell you before launch, not after.
- Feasibility confirmation
- 1 business day
- Sample plan + timeline
- Before launch
- Owner
- Panel team
- QA checkpoint
- Feasibility check
A controlled lifecycle, from design to delivery
The questionnaire is reviewed against your objectives before a single respondent is contacted. Surveys open on a controlled schedule, monitored in real time, and close when quotas balance.
- Standard turnaround
- 72 hours
- SLA
- Written, per agreement
- Owner
- Ops team
- QA checkpoints
- Live QA · Quota balance
Design
Objective alignment
Launch
Live QA
Collect
Quota balance
Deliver
Delivery SLA
Every response is checked before it becomes data
Consistency, speed, pattern, and dedupe — each a gate your data passes before it counts. Fraud flags are reviewed as a controlled process, not in silence.
- Validation gates
- 4 per response
- Pass rate
- 99%
- Owner
- Quality team
- QA checkpoint
- Dataset sign-off
Structured recruitment and execution discipline
IDIs, focus groups, and in-depth interviews — recruited to profile, verified before the session, and debriefed with the same quality discipline that governs our quantitative work.
- Recruitment
- To-profile, verified
- Owner
- Qualitative team
- QA checkpoint
- Pre-session verification
Recruitment, verified at every step
Screened to profile, verified before the session, debriefed after.
- Screened
- Verified
- Scheduled
- Debriefed
How we run it
The commitments behind every study, in plain terms.
Technique
- Programmed surveys with logic, quotas, and skips applied
- Real-time response monitoring through collection
- Over-quota and dedupe controls on every study
- Panelists routed to surveys in their own language
- Variables and weighting prepared in your dataset
Quality
- Four validation gates on every response
- 99% validation pass rate, gate by gate
- Live QA during collection, not after
- Feasibility check before launch
- Dataset sign-off before delivery
More
- 72-hour standard turnaround from brief to dataset
- Sample, quality, and timeline commitments in writing
- A named study owner and account team
- ISO 20252 certified, GDPR compliant
- Delivery SLA on every agreement
Proof, layer by layer
Reach, method, delivery, accountability — the four claims behind every study.
Markets and segments, sourced
Coverage in 40+ markets across 12 languages, including hard-to-reach B2B decision-makers and healthcare professionals. Feasibility and incidence are confirmed before launch — not after.
- 40+ markets with active coverage
- 12 field languages
- Healthcare and B2B specialist sourcing
A process you can audit
Seven stages — design, sample, launch, collect, validate, analyze, deliver — each with a named owner and a visible checkpoint. The method runs on paper you can ask for.
- Objective alignment before fielding
- Feasibility check on every sample
- Live QA and quota balance in real time
- Dataset sign-off before delivery
A schedule you control
Standard turnaround is 72 hours from brief to validated dataset. Niche audiences may take longer — we confirm a feasible timeline before you commit budget.
- 72-hour standard SLA
- Feasible timeline confirmed pre-launch
- Delivery SLA written into every agreement
Guarantees in writing
Sample, quality, and timeline commitments are written into your agreement. If we cannot source the audience, we tell you before launch — not after.
- Written sample, quality, and timeline commitments
- Named study owner and account team
- Fraud flags reviewed as a controlled process
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