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A pre-study instrument that verifies participants' understanding of consent information, risks, and withdrawal rights. Designed for IRB compliance and suitable for any human subjects research protocol.
View templateA structured end-of-term evaluation measuring student perceptions of instruction quality, course materials, workload, and pace. Designed for higher-education institutions seeking actionable feedback to improve course design and teaching effectiveness.
View templateMeasures employee perceptions of productivity, well-being, collaboration, and engagement across remote, hybrid, and in-office arrangements. Use this instrument to identify burnout risk factors and inform flexible-work policy decisions.
View templateA structured instrument for expert reviewers to evaluate the clarity, completeness, and pre-specification quality of a pre-analysis plan or preregistration draft before data collection begins.
View templateMeasures educators' AI tool usage patterns, institutional policy clarity, observed classroom outcomes, and support needs to inform evidence-based AI integration strategies across K-12 and higher education contexts.
View templateMeasures adjunct and part-time instructor satisfaction across pay equity, institutional support, teaching resources, and scheduling predictability. Designed for higher education administrators seeking actionable data to improve adjunct working conditions.
View templateDiagnoses why participants miss or consider skipping follow-up time points in longitudinal research, and identifies actionable levers—reminders, incentives, burden reduction—to improve retention and compliance.
View templateScreens prospective research participants for eligibility and verifies comprehension of informed consent elements before enrollment in an academic study.
View templateAn academic research survey examining how college and university students perceive and use AI writing tools such as ChatGPT, Copilot, and similar technologies. The survey covers usage patterns, perceived benefits and dependency concerns, academic integrity perspectives, quality comparisons, and instructor communication about AI policies.
View templateA validated self-assessment instrument measuring undergraduate AI literacy across five dimensions: conceptual understanding, practical skills, critical evaluation, ethical reasoning, and awareness of limitations. Estimated completion time: 10-12 minutes.
View templateMeasures awareness decay of recently launched features across user segments, identifying which communication channels sustain visibility and where messaging drop-offs occur post-launch.
View templateA team-level diagnostic for mixed-methods research projects, evaluating convergence, divergence, and integration rigor across qualitative and quantitative strands to guide analytic next steps.
View templateMeasures research participants' preferences for study session length, break scheduling, and compensation structures. Designed for academic and UX researchers optimizing study design for participant comfort and data quality.
View templateA research instrument measuring how generative AI tools affect student learning outcomes across learning depth, critical thinking, knowledge retention, and metacognitive awareness. Designed for pre/post and experimental research designs. Estimated completion time: 10–14 minutes.
View templateA structured instrument for school and district leaders to quantify educator administrative burden, identify top time sinks, and assess readiness for workflow automation. Designed for K–12 teaching staff and instructional support roles.
View templateCollects structured employer feedback on intern performance, program structure, supervision investment, and organizational outcomes to guide internship program improvements.
View templateMeasures student satisfaction, instructional quality, curriculum relevance, and near-term learning transfer for fintech courses. Designed for course administrators and instructional designers seeking actionable improvement data.
View templateAn academic research survey exploring faculty attitudes, concerns, and readiness regarding AI-assisted grading and assessment tools. Covers current practices, openness to adoption, concerns about bias/accuracy/privacy, training needs, and willingness to participate in controlled experiments.
View templateA research survey examining how AI tools are reshaping academic integrity norms among college and university students. Covers policy awareness, personal usage patterns, acceptability perceptions, peer behavior observations, and policy recommendations.
View templateThis survey evaluates student experiences with AI chatbot advising and support services. It measures usage patterns, task types, perceived success rates, satisfaction, trust, comparison to human advisors, and areas for improvement.
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