Plan the sample, weighting, representation, and methodology before launch
Move from a research objective to recruitment targets, design-effect-aware sample planning, weighting documentation, and publication-ready methods in one guided workspace.
- Define target populationPopulation, geography, strata, languages, eligibility.
- Choose designSRS, stratified, cluster, multistage, quota, panel, or mixed.
- Plan recruitmentMargin of error, confidence, design effect, response assumptions.
- Monitor representationTargets, sample drift, quotas, weights, and quality.
Study planner
Estimate completed interviews and invitations. This prototype is a planning aid; final designs should reflect the actual sample frame and method.
Sample and recruitment target
Plan for nonresponse and document any complex design assumptions.
Turn sample imbalance into documented adjustments
Support base weights, nonresponse adjustment, post-stratification, raking, calibration, trimming, and longitudinal weights. Always retain both raw and weighted estimates.
Generate documentation with the dataset
- Target population and frame
- Sample design and allocation
- Field dates and collection modes
- Contacts, starts, completes, and dispositions
- Weighting and calibration methods
- Quality exclusions and correction history
- Instrument versions and translations
Plan before you collect
Start with the research objective, then make sample, mode, quality, governance, and reporting choices explicit before launch.
Plan recruitment alongside sampling
Choose SierraTec Audience Network, customer-owned participants, approved external sample, or a hybrid route. Preserve source as a methodology variable so weighting, representativeness, mode effects, and quality reviews can be evaluated by source.
SierraTec Network
First-party participant source and default managed supply.
Your audience
Customer-owned contacts, panels, communities, employees, students, or other permitted populations.
External sample
Optional approved supply used transparently when additional reach or specialist targeting is required.