Education & EdTech Research

Education Research That Compounds

Get research-quality insights from students, parents, faculty, and administrators in 72 hours. Run 30+ minute AI-moderated interviews that go 5-7 levels deep into motivation, satisfaction, and decision-making. Build a cumulative understanding of your learners that compounds with every enrollment study, retention interview, and program evaluation.

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What User Intuition Does for Education Teams

User Intuition is an AI research platform for education institutions and EdTech companies that runs research-quality interviews to understand why students enroll, persist, disengage, or drop out. It delivers enrollment insights, program feedback, and learner experience research in under 72 hours, building a longitudinal Intelligence Hub that makes every study smarter than the last.

Why are admitted students choosing competitors over us?

Run interviews with admitted-but-declined students within days of decision deadlines. Surface whether the deciding factors are financial aid packaging, campus culture perception, program reputation, location, or career outcome expectations. Patterns emerge before the next admissions cycle begins.

What's actually causing students to leave after year one?

Pulse interviews with students who transferred or stopped out surface whether the problem is academic fit, social belonging, financial stress, advising gaps, or unmet expectations set during recruitment. Go 5-7 levels deep to separate symptoms from root causes.

Which EdTech features drive adoption vs. which get ignored?

Interview instructors and students who adopted your platform alongside those who abandoned it. Uncover whether barriers are UX friction, lack of training, misalignment with pedagogy, or missing integrations with existing LMS workflows.

Why Education Research Breaks at Decision Speed

Education leaders face a compounding problem: enrollment dynamics shift faster than institutional research cycles can respond, student expectations evolve with each cohort, and the stakes of getting it wrong are measured in years of lost tuition, reputation damage, and student outcomes. Most education research either arrives too late or captures only surface-level satisfaction scores.

1

Enrollment Decisions Happen Faster Than Research Cycles

Prospective students compare 5-8 institutions simultaneously. By the time a traditional focus group is recruited and analyzed, the yield window has closed. You need to understand decision drivers now, not after the cohort has committed elsewhere.

2

Satisfaction Surveys Miss the Why Behind Attrition

End-of-term surveys capture satisfaction scores but can't explain why a 3.8 GPA student transferred. The difference between 'somewhat satisfied' and 'stayed' lives in emotional and social factors that surveys can't reach. Without depth, retention interventions target symptoms, not causes.

3

Program Design Decisions Lack Learner Evidence

New programs launch based on market demand projections and faculty expertise, not on deep conversations with prospective learners about what they actually need. Curriculum committees debate without hearing from the students who would enroll.

4

Institutional Knowledge Disappears With Staff Turnover

An enrollment VP who understood why transfer students choose your institution leaves. Their successor starts from scratch. Research from three years ago lives in a PDF no one can find. Each leadership transition resets institutional understanding to zero.

5

EdTech Adoption Research Is Disconnected From Pedagogy

Product teams build features based on usage data, but can't explain why faculty resist adoption or why students use workarounds. The gap between what analytics show and what users actually experience costs millions in failed implementations.

6

Accreditation Evidence Requires Depth You Don't Have

Accreditors increasingly want evidence of continuous improvement grounded in stakeholder feedback. Satisfaction surveys show numbers. They don't show the qualitative depth that demonstrates you understand and respond to student, faculty, and employer needs.

Outcomes

Measurable impact

What matters most to teams after switching to AI-moderated research.

Insight-to-action
72 hours

Compress from semester-long research cycles to 72 hours. Enrollment strategy, retention interventions, and program design decisions happen while they can still impact the current cohort.

Beyond satisfaction scores
Root-cause clarity

30+ minute interviews with 5-7 levels of laddering surface the real reasons behind enrollment, persistence, and attrition. Move from 'students are dissatisfied' to 'students feel academically capable but socially disconnected after week six.'

Compounding intelligence
Longitudinal evidence

Every interview across enrollment, retention, program evaluation, and alumni studies lives in a searchable Intelligence Hub. Cross-reference findings across cohorts, programs, and years.

Evidence-traced findings
Accreditation-ready

Every finding traces back to real verbatim quotes from real stakeholders. Accreditation self-studies and continuous improvement reports backed by qualitative depth, not just survey averages.

Use Cases

How Education Teams Use User Intuition

Enrollment Yield & Melt Analysis

Interview admitted-but-declined and deposited-but-melted students within days of decision deadlines. Uncover whether financial aid, campus visits, peer influence, career outcomes, or competitor messaging drove their decision.

Yield insights before the next cycle. Adjust financial aid packaging and recruitment messaging based on real decision drivers.

Student Retention & Stop-Out Research

Pulse interviews with students who transferred, stopped out, or are at risk of leaving. Surface whether the root cause is academic fit, social belonging, financial stress, advising gaps, or expectation mismatch.

Retention patterns by Monday. Student success team deploys targeted interventions by Friday.

Program Design & Curriculum Validation

Interview prospective students, current learners, alumni, and employers before committing to new programs or curriculum redesigns. Validate whether proposed changes align with actual learner needs and career outcomes.

Evidence-backed program decisions. Launch new curricula with confidence that demand and design align.

EdTech Product-Market Fit & Adoption

Understand why faculty adopt or resist your platform. Interview instructors, students, and IT administrators to surface UX friction, pedagogical misalignment, integration gaps, and training needs.

Adoption barriers identified in 48 hours. Ship fixes that drive real classroom usage, not just logins.

Alumni & Employer Outcome Research

Interview alumni and hiring managers to understand how well programs prepare graduates for career success. Map perception gaps between what institutions deliver and what employers need.

Career outcome evidence for accreditation, marketing, and program improvement. Real quotes from employers and alumni.

Student Experience & Campus Life Research

Go beyond satisfaction surveys to understand the emotional and social dimensions of the student experience. Surface belonging, mental health support perceptions, housing satisfaction, and dining quality drivers.

Actionable student experience insights. Target investments to the factors that actually drive satisfaction and persistence.
How It Works

Get started in minutes

1
5 min

Design Your Research

Define your research question and target audience. Reach students, parents, faculty, alumni, employers, or prospective learners through your own lists or User Intuition's 4M+ panel across 50+ languages.

2
24-72 hours

AI Conducts Interviews

AI moderates 30+ minute interviews with 5-7 levels of laddering. Interviews happen in parallel, 24/7, on any device. By day two, transcripts stream in. By day three, patterns emerge across your respondent pool.

3
72 hours

Search and Act

Findings land in your Intelligence Hub, searchable by theme, cohort, program, and respondent type. Cross-reference enrollment research with retention findings. Build institutional memory that survives staff turnover.

Why User Intuition

Built for speed and depth

Speed That Matches Decision Cycles

72-hour turnaround means enrollment insights arrive before yield deadlines, retention interventions deploy mid-semester, and program design decisions happen before catalog lock. Traditional education research takes months.

Depth Beyond Satisfaction Surveys

30+ minute interviews with AI-guided laddering uncover the emotional, social, and financial drivers hiding beneath surface-level satisfaction scores. Understand why a student with a 3.8 GPA and high satisfaction still transferred.

Institutional Memory That Persists

Every interview is searchable, taggable, and cross-referenceable in the Intelligence Hub. When a new dean needs to understand why nursing enrollment declined three years ago, they search and find the original student interviews.

Flexible Participant Sourcing

Interview your own students, prospective applicants, parents, alumni, and employers from your CRM lists. Or recruit from User Intuition's 4M+ panel for independent validation, competitive research, or hard-to-reach segments.

When Alternatives Still Make Sense

If you need institution-wide quantitative benchmarking or multi-year longitudinal cohort tracking with statistical modeling, complement with survey platforms or IR tools. For understanding the why behind enrollment, retention, and experience, User Intuition delivers faster and deeper.

How it compares

  • Focus groups: $8K-$25K per study, 6-8 weeks, 8-12 participants. Limited depth, geographic constraints
  • End-of-term surveys: fast but shallow, response fatigue, can't explain why students leave
  • IR dashboards: show what happened, not why. Lagging indicators without qualitative context
  • User Intuition: 72 hours, 5-7 levels deep, searchable Intelligence Hub that compounds across cohorts and years

"We interviewed 40 admitted students who chose competitors. Within a week, we understood exactly why our yield dropped. The patterns were clear: it wasn't financial aid amounts, it was how and when we communicated them. We restructured our award letters and recovered 6 points of yield the next cycle."

VP of Enrollment Management — Regional University

Methodology & Trust

When AI Helps and When a Human Should Lead Education Research

AI-moderated interviews deliver consistent depth across education contexts, but some research questions benefit from human facilitation.

AI-Moderated Interviews Excel At

  • Enrollment decision and yield research at scale
  • Student retention and stop-out root-cause analysis
  • Program evaluation and curriculum feedback
  • EdTech adoption and UX research with faculty and students
  • Alumni career outcome and employer satisfaction research
  • Multilingual research across international student populations

Consider Human Moderation For

  • Sensitive topics requiring trauma-informed facilitation
  • Research with minors under 18 requiring guardian protocols
  • Participatory design workshops for campus planning
  • Executive-level interviews with board members or donors
  • Ethnographic classroom observation research
  • Deep cultural context research with underrepresented populations

Methodology refined through Fortune 500 consulting engagements and adapted for education contexts.

Get Started

Run your first education research study this week

Whether you're diagnosing enrollment yield, understanding student attrition, or validating a new program, get research-quality answers in 72 hours.

Quick Start

Launch your first study in minutes. Define your question, target your audience, and see results in 72 hours.

Strategic

No sales deck. We'll map User Intuition to your next enrollment challenge, retention question, or program decision.

Explore

See what education research looks like inside the Intelligence Hub. Real example, anonymized data.

No contract · Per-interview pricing · Results in 72 hours

FAQ

Common questions

A 30+ minute research conversation where an AI interviewer follows a structured protocol to explore motivation, satisfaction, decision-making, and experience. It goes 5-7 levels deep using laddering methodology. Unlike course evaluations or satisfaction surveys, AI moderation allows adaptive follow-up while maintaining rigor across hundreds of participants.
Yes. Import your own contact lists (students, parents, faculty, alumni, employers) or recruit from User Intuition's 4M+ panel for prospective students, competitive research, or hard-to-reach demographics. Blended studies combining your lists with panel participants are also supported.
72 hours from study launch to searchable findings. Interviews complete by day two, analysis happens in parallel. For time-sensitive decisions like enrollment yield strategy or mid-semester retention interventions, this means research informs action while it still matters.
Enrollment yield analysis, student retention and stop-out research, program design validation, curriculum feedback, EdTech adoption research, alumni career outcome studies, employer satisfaction research, campus experience deep-dives, accreditation evidence collection, and competitive positioning research.
Course evaluations capture satisfaction scores but can't explain why students feel the way they do. User Intuition interviews go 5-7 levels deep to surface root causes. A student who rates advising 3 out of 5 might reveal that the issue is scheduling access, not advisor quality. That distinction changes the intervention entirely.
Yes. Accreditors want evidence of continuous improvement grounded in stakeholder feedback. User Intuition provides evidence-traced findings with verbatim quotes from students, alumni, employers, and faculty. Every finding links back to the real conversation that produced it.
Every interview across all studies lands in a searchable database. An enrollment VP can search across yield studies, retention interviews, and alumni research spanning multiple years and cohorts. Over time, patterns emerge and research becomes an institutional asset that survives staff turnover.
Yes. EdTech companies use User Intuition for product-market fit research, feature adoption studies, instructor and student UX research, competitive analysis, and churn diagnosis. The same platform and methodology applies whether you're a university or a learning technology company.
Multi-layer screening including bot detection, duplicate suppression, and professional respondent filtering. For studies using your own student or faculty lists, participants are verified against your provided contacts. Panel participants pass additional qualification screening.
Yes. User Intuition supports 50+ languages and recruits from a global panel. Run parallel studies across domestic and international student segments with the same research design. Compare enrollment motivations, experience factors, and satisfaction drivers by population.
No. The platform walks you through study design. Define your research question, target audience, and sample size. User Intuition handles recruitment, AI moderation, transcription, and tagging. Enrollment teams, student affairs, academic affairs, and EdTech product managers all run studies without formal research training.
User Intuition is GDPR compliant, HIPAA compliant, and ISO 27001 certified, with SOC 2 Type II in progress. All data is encrypted in transit and at rest. For FERPA-sensitive contexts, studies can be designed to collect only de-identified feedback without linking to student records.
Transparent per-interview pricing starting at $20 per interview for chat-based studies and $200 for a 20-interview study. No contracts or monthly minimums. Run a quick 20-interview pilot for under $400, or scale to hundreds of interviews for comprehensive research. Compare that to $15K-$50K for a single traditional focus group study.