A team-level diagnostic for mixed-methods research projects, evaluating convergence, divergence, and integration rigor across qualitative and quantitative strands to guide analytic next steps.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
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Detailed Reports
Comprehensive insights and recommendations
Template Overview
23
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to this mixed-methods integration review. Your responses will help the team assess how well qualitative and quantitative strands converge and identify areas for improvement.
Participation is voluntary and you may stop at any time. There are no right or wrong answers—we value your honest assessment based on your direct experience with this project. Responses will be shared only within the project team in aggregate form.
Estimated time: 10–12 minutes.
Q2
Multiple Choice
Which components of this study did you directly contribute to? Select all that apply.
Qualitative data collection
Qualitative analysis
Survey instrument/design
Quantitative analysis
Data integration/synthesis
Interpretation/write-up
Other
Q3
Opinion Scale
How clear were the mixed-methods objectives at the study design stage?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q4
Multiple Choice
Which data sources were included in this integration? Select all that apply.
Interviews
Focus groups
Open-ended survey responses
Observational/field notes
Administrative/transactional data
Structured survey data
Experiments
Other
Q5
Opinion Scale
Overall, to what extent do the qualitative and quantitative results point to the same conclusions?
Range: 1 – 7
Min: No convergence at allMid: NeutralMax: Complete convergence
Q6
Multiple Choice
Which strand—qualitative, quantitative, or both equally—contributed most to the study's key insights overall?
Primarily qualitative
Primarily quantitative
Both contributed equally
Difficult to determine
Q7
Long Text
Briefly describe one example of clear convergence (or near-convergence) you observed between the qualitative and quantitative findings.
Max chars
Q8
Opinion Scale
How substantial were the discrepancies between the qualitative and quantitative findings in this project?
Range: 1 – 7
Min: None or trivialMid: NeutralMax: Very substantial
Q9
Multiple Choice
What types of discrepancies were present? Select all that apply.
Directional disagreement (opposite signs/themes)
Magnitude differences (size/strength)
Subgroup inconsistency
Timing/temporal mismatch
Measurement/operationalization mismatch
Sampling/coverage bias
Analytic/modeling choices
None observed
Other
Q10
Long Text
Describe the most consequential discrepancy you observed: what differed, and where it appeared.
Max chars
Q11
Ranking
Rank the following actions to address discrepancies from highest to lowest priority.
Drag to order (top = most important)
Re-examine qualitative codebook/themes
Sensitivity checks/alternative specifications
Revisit measurement/construct alignment
Sample weighting or balance diagnostics
Collect targeted follow-up data
Cross-walk via joint display/convergence coding
Q12
Opinion Scale
How well were qualitative and quantitative strands integrated across stages (design, analysis, interpretation)?
Range: 1 – 7
Min: Not integrated at allMid: NeutralMax: Fully integrated
Q13
Multiple Choice
Which integration techniques were used in this project? Select all that apply.
Joint displays
Convergence coding matrix
Data transformation (qualitize/quantize)
Framework matrix
Meta-inferences workshop or meeting
Narrative weaving
None of the above
Other
Q14
Long Text
What, if any, barriers limited the integration of qualitative and quantitative strands?
Max chars
Q15
Ranking
Rank the following sources by their influence on the study's final conclusions, from most to least influential.
Drag to order (top = most important)
Qualitative evidence
Quantitative evidence
Integration/synthesis process
Stakeholder/community input
Q16
Opinion Scale
How confident are you in the integrated conclusions of this study?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q17
Multiple Choice
Based on the current evidence, which next steps should the team take? Select all that apply.
Proceed to dissemination as is
Make minor analytic refinements
Substantive re-analysis
Collect additional qualitative data
Collect additional quantitative data
Stakeholder/member-check discussion
Revise theoretical framing
Other
Q18
AI Interview
We'd like to explore your perspective on the integration process in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your experience with this project.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q19
Long Text
Based on your responses throughout this review, is there anything else the team should consider when interpreting or reporting the integrated results?
Max chars
Q20
Dropdown
How many years of experience do you have with mixed-methods research?
0–1 years
2–4 years
5–9 years
10+ years
Q21
Multiple Choice
Which methodological training best describes your background? Select all that apply.
Primarily qualitative
Primarily quantitative
Mixed-methods
Evaluation-focused
Implementation science
Other
Q22
Dropdown
In which region are you primarily based? (Optional)
Africa
Asia
Europe
Latin America/Caribbean
Middle East
North America
Oceania
Prefer not to say
Q23
Chat Message
Thank you for completing this review. Your input will directly strengthen the team's integrated conclusions and help guide next steps.
Frequently Asked Questions
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