Professional quantitative recruitment
Build professional survey sample around the decision.
Relevane recruits B2B survey respondents using an enrolled community plus targeted sourcing, with qualification designed around the study rather than a generic profile alone.
What it is
Sample design starts with the decision, not a generic profile count.
B2B survey recruitment finds and qualifies professionals for quantitative research. Eligibility may depend on role, company context, seniority, purchasing responsibility, product use, or other first-hand experience.
Quantitative recruiting path
Pressure-test the sample before fieldwork begins.
The funnel is a planning sequence. Exact controls, thresholds, and responsibilities remain study-specific and must be approved for each project.
- 01
Feasibility model
Start with geography, timing, survey length, incentive assumptions, and the complete audience definition.
- 02
Target incidence
Identify which criteria are observable before invitation and which must be confirmed in the screener.
- 03
Quota architecture
Separate decision-critical cells from useful cuts so the sample plan exposes pressure points early.
- 04
Qualification and validation
Define the study-specific checks, review points, and disqualifiers appropriate to the target.
- 05
Field-quality review
Monitor quota progress and response signals, then surface feasibility or quality questions for review.
Sample and quota architecture
Target definition
Experience tied to the business questionRole, responsibility, company context, geography, recencyDecision-critical cells
- Required representation
- Explicit overlap rules
- Known feasibility pressure
Useful analysis cuts
- Prioritized if incidence supports them
- May remain flexible
- Reviewed before fieldwork
Field visibility
Progress and questions shown togetherQuota movement, source mix, review flags, and approved response-quality signalsQuality matrix
Define what will be checked, and when.
A defensible plan distinguishes target fit, quota fit, response review, and sourcing visibility instead of compressing them into a universal quality claim.
| Review area | Planning question | Review point |
|---|---|---|
| Audience fit | Responsibilities, company context, seniority, and relevant recent experience | Before invitation and during screening |
| Quota fit | Decision-critical cells, overlaps, and remaining flexibility | At feasibility, launch, and during fieldwork |
| Response quality | Study-approved completion and answer-quality signals | During fieldwork and before delivery |
| Source visibility | What came from the professional community and what required targeted outreach | In the recruiting plan and project reporting |
Before a field plan is approved
Keep assumptions visible.
- Incidence is conditional.Feasibility changes when required criteria, markets, timing, survey length, or incentive assumptions change.
- Controls are study-specific.Duplicate, fraud, identity, completion, and answer-review standards cannot be implied before the operating plan is approved.
- Platform boundaries matter.Survey hosting, programming, data handling, and delivery ownership must be stated explicitly for the project.
Survey feasibility
Bring the audience, quota plan, and field constraints into one conversation.
Share what the sample must support, which cells are fixed, where flexibility exists, and what remains unknown. We will use that context to frame a recruiting approach for review.