01HAI
Human-AI Evaluation
Can people interpret, verify, and appropriately act on AI output? We evaluate trust, transparency, human oversight, and decision-making in the context of real tasks.
Research & Evaluation Consultancy
Smarter Research.
Better Outcomes.
Research and evaluation for better products, better learning, and responsible AI. Research IQ helps organizations answer complex questions about people, technology, learning, and AI through rigorous research designed to produce evidence leaders can actually use.
Trusted by
Capabilities
04 areasWhat we study
02UX
UX & Product Research
What do people need, where do they struggle, and what should change? We use interviews, usability studies, and mixed-methods research to inform product priorities and design decisions.
03EDU
Learning & EdTech Research
Does a learning experience help people develop and apply what they learn? We study learner and educator experiences, technology adoption, and learning outcomes to guide improvement.
04BIO
Behavioral & Biometric Research
What can observed behavior and physiological signals add to what people report? We combine methods such as eye tracking, galvanic skin response, and behavioral observation with interviews and task performance.
Every study starts with the decision you need to make. We choose methods that fit the question, context, and available resources.
Start with the decision.
What do you need to understand before you can move forward? Research IQ turns that question into a focused study, with methods and deliverables matched to the decision, context, and available resources.
Frame the question
Clarify the decision, what is already known, and where uncertainty matters. Agree on the study’s scope and what the evidence needs to address.
Gather the evidence
Choose methods that fit the question. Combine what people report with observations, task performance, and other relevant evidence.
Inform the next step
Explain what the findings support, where uncertainty remains, and what they mean for the decision. Identify practical recommendations and questions that need further investigation.
Research in action
Selected engagement
Evaluating AI-supported instructional decisions
- Research question
- Can instructional users interpret, validate, and act on AI-generated feedback summaries with appropriate confidence?
- Research IQ’s contribution
- Designed a research protocol to examine how users assess AI output, check source feedback, and decide what action to take.
- Evaluation focus
- Interpretability, calibrated trust, source validation, decision confidence, and instructional actionability.
- Status
- Study preparation; no evaluation findings reported.
Founder
Quincy Conley, PhD
Founder & Principal Researcher
Quincy brings experience leading research at Pearson, building an interdisciplinary research lab at Boise State University, and leading learning and technology initiatives at A.T. Still University.
His work connects research with practical decisions about products, learning, and technology. Through Research IQ, he designs studies that help organizations understand people’s experiences, evaluate what is working, and decide what to improve.
Contact
What are you trying to learn or decide?
Tell us about the question in front of you, and we will outline a credible way to answer it.