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SurveyMinds · Survey & Cross-Sectional Research — a specialized subdomain of RSMinds

Mindful AI · STROBE compliant · 8 survey designs · Prevalence-aware

Design Rigorous Cross-Sectional Surveys
From Idea to STROBE Synopsis

Cross-sectional, repeated, serial, rolling, trend, and panel survey designs. An 11-step workflow built on the POS framework — AI proposes the design, prevalence-based sample-size logic and design-effect adjustment keep your survey statistically sound. Output aligned to STROBE.

Try the workflowSee how it works
No credit card to start7-day money back15,000 Mindful AI Tokens/month
rsminds.com/survey / workflow
01Idea & Survey Subtype
02POS Framework
07Sampling Strategy
08Sample Size
11STROBE Synopsis
+ 6 more sections — see full workflow below
0

survey subtypes covered

0

workflow sections — idea to STROBE synopsis

0

core reporting standard: STROBE (cross-sectional)

₹0/mo

starts here · 7-day money back

How SurveyMinds works

The 11-section workflow

Each section is its own AI-assisted accordion. Outputs flow forward — your POS informs sampling; sampling informs sample size; design effect threads through analysis; everything assembles into a STROBE synopsis.

01

Idea & Survey Subtype

Inputs

Research idea text

AI action

predictSurveySubtype

Output

Best-fit subtype across 8 survey designs with alternatives + family (Cross-Sectional / Other Surveys).

Saves 30–60 min of design-selection deliberation
02

POS Framework

Inputs

Subtype context

AI action

suggestChips (POS extraction)

Output

Population / Outcomes / Setting — with time points and aggregation level for repeated and ecologic designs.

Saves 1–2 hours of POS refinement
03

Research Question & FINER

Inputs

POS

AI action

draftSurveyQuestion + auditResearchQuestion

Output

3 question drafts + FINER scoring (Feasibility, Interest, Novelty, Ethics, Relevance).

Saves 2–3 hours vs manual drafting
04

Hypothesis & Variables

Inputs

Question

AI action

draftSurveyHypothesis + deconstructQuestion

Output

Association H1 / H0 + variables: predictor, outcome, confounders, mediators. Skipped for descriptive surveys.

Saves ~1 hour and surfaces confounders early
05

Theory & Framework

Inputs

QuestionVariables

AI action

discoverTheories + generateFramework

Output

3 theory candidates with citations + conceptual framework mapping variables.

Saves 3–5 hours of literature triangulation
06

Population & Eligibility

Inputs

SubtypeFramework

AI action

generatePopulationCriteria

Output

Target population, inclusion / exclusion criteria, recruitment sources, non-response assumptions.

Saves 1–2 hours and aligns with STROBE items 6–7
07

Sampling Strategy

Inputs

PopulationSubtype

AI action

suggestDetailedSampling

Output

Sampling method (stratified, cluster, multi-stage), frame, design effect, and recruitment procedure.

Saves 2–3 hours and catches selection bias before fielding
08

Sample Size

Inputs

SubtypePrevalenceMarginDEFF

AI action

calculateSurveySampleSize

Output

Prevalence-based N with design-effect inflation and non-response adjustment — analytical OR path when applicable.

Saves 1–2 hours and aligns with STROBE item 10
09

Measurement Protocol

Inputs

POSVariables

AI action

generateMeasurementProtocol

Output

Validated questionnaire selection, operational definitions, and data-collection procedure.

Saves 2–4 hours of instrument-protocol drafting
10

Analysis Plan

Inputs

OutcomesConfounders

AI action

generateSurveyAnalysisPlan

Output

Weighted prevalence estimates, determinant regression, design-effect adjustment, and subgroup analyses.

Saves 2–3 hours and addresses survey weighting head-on
11

STROBE Synopsis

Inputs

All previous sections

AI action

generateSurveySynopsis (parallel SSE)

Output

STROBE-compliant synopsis exportable as DOCX, PDF, or Markdown.

Saves a full day of synopsis drafting

Subtype coverage

8 survey subtypes — all covered

From single-contact prevalence surveys to repeated, serial, rolling, trend, and panel designs. Every subtype gets its own design guidance, POS framing, STROBE mapping, and prevalence-based sample-size formulas.

Cross-Sectional

6 designs

  • Analytical Cross-Sectional

    Test associations between variables at one time point.

  • Descriptive Cross-Sectional

    Estimate prevalence — no hypothesis required.

  • Ecologic Cross-Sectional

    Group-level analysis across populations or regions.

  • Repeated Cross-Sectional

    Independent samples measured at successive points.

  • Serial Cross-Sectional

    Sequential surveys tracking change over time.

  • Rolling Cross-Sectional

    Continuous fielding with replicate sub-samples.

Other Surveys

2 designs

  • Trend Survey

    Track population-level change across repeated waves.

  • Panel Survey

    Follow the same respondents across multiple waves.

Compliance

Built on the survey
standards reviewers expect

Integrated

STROBE 2007

Strengthening the Reporting of Observational Studies in Epidemiology — cross-sectional

Integrated

STROBE cross-sectional

22-item checklist tailored to cross-sectional surveys

Integrated

STROBE-RDS

Respondent-Driven Sampling extension

Integrated

STROBE-ME

Molecular Epidemiology extension

Integrated

AAPOR Standards

Survey response-rate definitions & disclosure

Integrated

CHERRIES

Checklist for Reporting Results of Internet E-Surveys

Integrated

GRADE

Grading of Recommendations Assessment

Integrated

Newcastle-Ottawa

Quality scale (cross-sectional adaptation)

Integrated

JBI Prevalence

JBI critical appraisal for prevalence studies

Integrated

AXIS Tool

Appraisal tool for cross-sectional studies

Integrated

CASP Cohort

Critical Appraisal Skills Programme (panel surveys)

Integrated

SURGE

Survey Reporting Guideline

Your protocol is scored against the applicable survey standards in real time.

Plans

Simple pricing

7-day money-back guarantee

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₹299/ 30 days

15,000 Mindful AI Tokens

  • All 8 survey subtypes
  • 11-section workflow
  • STROBE exports (DOCX / PDF / MD)
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₹699/ 90 days
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FAQ

Frequently asked questions

Common questions from epidemiologists, public-health researchers, and IEC reviewers.

Which survey designs does SurveyMinds cover?

All 8 mainstream subtypes — analytical, descriptive, ecologic, repeated, serial and rolling cross-sectional, plus trend and panel surveys. Each gets its own POS framing, sampling guidance, and STROBE mapping.

What does the POS framework mean for survey design?

POS (Population, Outcomes, Setting) structures survey research where there is no intervention or comparator. It focuses on the target population, the outcomes/variables of interest, and the geographic or institutional setting — the survey analogue of PICO/PECO.

How is sample size calculated for a prevalence survey?

SurveyMinds gives an AI-assisted estimate based on the prevalence-based approach n = Z² p(1−p) / e², factoring in a design-effect (DEFF) inflation for cluster/multi-stage sampling and a non-response adjustment. Analytical surveys get an odds-ratio path. The estimate is a starting point — verify it with a statistician or a dedicated tool (e.g. G*Power) before finalizing.

Does it handle design effect for cluster sampling?

Yes. Step 7 (Sampling) proposes the design and its design effect; Step 8 (Sample Size) inflates the base N by DEFF; Step 10 (Analysis) carries design-effect adjustment and survey weighting into the analysis plan.

What about descriptive surveys with no hypothesis?

Descriptive Cross-Sectional surveys skip the hypothesis step entirely — the workflow routes straight from the research question to theory and population, and the synopsis frames objectives as prevalence estimation rather than association testing.

Will the synopsis pass STROBE peer review?

Output is structured to match all 22 STROBE items in the cross-sectional configuration, with a live compliance score. Formal compliance still requires investigator verification — every line stays editable.

Can I import an existing protocol or POS statement?

Yes. Paste any synopsis or POS statement and the tool extracts population, outcomes, and setting — including candidate variables — so you continue from where you left off.

What export formats are supported?

DOCX, PDF, and Markdown. All exports preserve STROBE structure and reporting headings for direct ethics-committee or journal submission, with an Appendix A study-parameters table (POS, variables, sampling, sample size, instruments).

Is there a free way to try it?

Subtype prediction (Step 1) is free with login — identify the right survey design for your idea. Full workflow is unlocked on any access plan, with a 7-day money-back guarantee.

Start your survey study in 5 minutes.

Free subtype prediction. No credit card. Sign in with Google.

Try the workflow