Research Methods
149 articles
Learn qualitative research methodologies — from user interviews and Jobs-to-be-Done to thematic analysis and affinity mapping.
Cognitive Walkthrough: The Complete Guide to Learnability Inspection (2026)
Master the cognitive walkthrough — the four-question, task-based usability inspection method developed by Wharton, Polson, Lewis, and Rieman. Learn the original 4-question protocol, Spencer’s streamlined 2-question version, when to choose it over heuristic evaluation, and how to validate the findings with real users in days using AI-moderated interviews on Koji.
Lean User Research: How to Run Meaningful Research with No Time or Budget
A practical guide to lean user research — the techniques, principles, and AI tools that let small teams run effective research in hours, not weeks. Includes guerrilla testing, rapid prototyping, and how Koji automates the process.
Secondary Research: The Complete Guide to Desk Research for Product and UX Teams
A complete guide to secondary research (desk research) — what it is, internal and external sources, a 5-step process, when it is not enough, and how it complements primary user research with Koji.
Customer Validation: The Complete 2026 Guide to Validating Your Product With Real Customers
A practical guide to customer validation — Steve Blank's second phase of customer development, validation methods, sales-led tests, and how Koji runs validation interviews in days, not months.
Research Bias: The Complete Guide to Cognitive Biases That Corrupt User Research
A comprehensive guide to the 9 most damaging cognitive biases in user research — from confirmation bias to social desirability bias — with practical strategies to detect and eliminate them before they corrupt your findings.
MVP Validation: 9 Proven Methods to Test Your Minimum Viable Product (2026 Guide)
A complete guide to MVP validation — what to test, the 9 best methods (smoke tests, concierge, Wizard of Oz, paid pilots, and more), success metrics, and how Koji runs MVP validation interviews in days.
Prototype Testing and Concept Validation: A Researcher's Complete Guide
Learn how to validate product concepts and prototypes through research interviews before committing to build. Covers when to use each approach, question frameworks, and how AI interviews scale concept validation 10x faster.
How to Conduct Market Research Interviews: Questions, Methods, and AI Automation
A complete guide to market research interviews — including when to use them, how to design effective question guides, and how AI automation makes qualitative market research scalable.
Power User Interviews: How to Learn from Your Best Customers to Drive Growth
Learn how to identify and interview your power users to understand what drives product mastery, advocacy, and expansion — and how AI interviews make this research scalable.
Product Discovery Research: How to Validate Ideas Before Building
Learn how to run effective product discovery research — using AI interviews, problem interviews, concept testing, and JTBD techniques — to build products users actually want.
Customer Segmentation Research: How to Build Segments That Actually Drive Decisions
How to use qualitative interviews — rather than demographic surveys — to build behavioral and motivational customer segments that product, marketing, and sales teams actually use.
Switch Interviews: The JTBD Method for Understanding Why Customers Buy (and Leave)
Switch interviews uncover the four forces of progress that cause customers to switch from one product to another. Learn the Bob Moesta playbook and how to run switch interviews with AI at scale.
Buying Committee Interviews: Multi-Stakeholder B2B Research Without the Scheduling Nightmare
Run research interviews with every member of a B2B buying committee — economic buyers, end users, IT, security, finance, legal — without coordinating six calendars. Use Koji's personalized AI interview links to capture role-specific perspectives at each stakeholder's convenience, then synthesize the full account view in one report.
User Research for Mobile Apps: The Complete Guide
How to run effective user research for mobile apps — covering methods, study design, in-context AI interviews, and building a continuous mobile research program.
Tree Testing: The Complete Guide to Testing Your Information Architecture
A comprehensive guide to tree testing — the UX research method for validating information architecture and navigation before you build.
Customer Needs Analysis: How to Uncover What Customers Actually Want
A practical guide to customer needs analysis — how to identify, prioritize, and act on what customers genuinely need, with frameworks, research methods, and real-world examples.
UX Research Deliverables: The Complete Guide to Research Outputs That Drive Action
A comprehensive guide to UX research deliverables — from research reports and user personas to journey maps and insight statements — with guidance on matching deliverables to audiences and using AI to eliminate manual production time.
Design Thinking Research: The Complete Guide to the Empathize Phase
Master the Design Thinking empathize phase with proven user research techniques. Learn empathy mapping, immersion, observation, and how AI-powered interviews accelerate human-centered design.
Generative Research: How to Uncover User Needs You Didn't Know Existed
A complete guide to generative (exploratory) user research — what it is, when to use it, which methods work best, and how AI-powered platforms like Koji make it faster and more scalable than ever.
Accessibility Research: How to Include Users with Disabilities in Your Studies
A practical guide to designing and conducting accessible user research — how to recruit participants with disabilities, adapt your methods, and use async AI interviews to remove barriers to participation.
HEART Framework: Google’s 5-Metric Model for Measuring User Experience (2026 Guide)
The complete guide to Google’s HEART framework — the five user-centered metrics (Happiness, Engagement, Adoption, Retention, Task Success), the Goals–Signals–Metrics process, and how to collect each metric in days, not quarters, with AI-moderated research on Koji.
How Many User Interviews Do You Need? The Sample Size Guide for Qualitative Research
Discover the right number of user interviews for your research. Learn about data saturation, theoretical saturation, and practical frameworks for knowing when you've collected enough qualitative data.
Pre-Launch User Research: How to Validate Before You Ship
A complete framework for running user research in the weeks before a product launch — covering concept validation, messaging testing, and onboarding validation using AI interviews.
How to Conduct User Interviews: The Complete Step-by-Step Guide
A complete step-by-step guide to planning, conducting, and analyzing user interviews—covering discussion guide writing, participant recruitment, facilitation techniques, sample size, and modern AI-powered approaches.
A/B Testing vs. User Research: When to Use Each (And When to Use Both)
Understand when A/B testing and qualitative user research each shine, and how to combine them for better product decisions. Includes framework for choosing methods, real case studies, and how AI interviews make mixed methods accessible.
Qualitative Research Validity and Reliability: How to Build Studies You Can Trust
A practical guide to Lincoln and Guba's trustworthiness framework — credibility, transferability, dependability, and confirmability — and how to build each into your qualitative research studies.
Smoke Tests and Fake Door Tests: How to Validate Demand Before You Build
Smoke tests and fake door tests measure real user demand for an idea before any code is written. Learn the playbook used by Buffer, Dropbox, and modern product teams — and how to pair it with AI interviews.
Win-Loss Analysis: How to Learn Why Deals Are Won and Lost
A complete guide to win-loss analysis—covering interview methodology, why CRM data fails, internal vs. third-party programs, what questions to ask buyers, and how to use findings to improve win rates, messaging, and product roadmaps.
AI-Powered Concept Testing: How to Validate Ideas Through Conversation
How to run concept testing with AI interviews instead of surveys. Get richer feedback on product concepts, messaging, and design directions — automatically, at scale, with no moderator needed.
Heuristic Evaluation: The Complete UX Review Guide
Learn how to conduct heuristic evaluations using Nielsen's 10 usability heuristics. Discover when to use expert review vs. user testing, how many evaluators you need, and how AI-assisted research accelerates the process.
Single Ease Question (SEQ): The 7-Point UX Metric for Task-Level Usability (2026)
The complete 2026 guide to the Single Ease Question (SEQ): the verbatim 7-point scale wording, Sauro–MeasuringU benchmarks (5.3–5.5 average), correlation with task completion, when to use SEQ vs SUS, and how to bundle SEQ into AI-moderated interviews on Koji to get task-level usability scores in days.
MoSCoW Method: How to Prioritize Features with Must, Should, Could, and Won't Have
Master the MoSCoW prioritization method. Learn the 60-20-20 effort rule from DSDM, how to run a MoSCoW workshop, and how customer research validates which features truly belong in Must Have.
User Research for Product Redesign: How to Validate Before You Rebuild
A three-phase research framework for product redesigns — covering discovery, concept testing, and launch validation — that prevents the most expensive redesign mistake: building what looks good internally but alienates existing users.
UX Research Methods: The Complete Toolkit for Researchers and Product Teams
A comprehensive guide to every major UX research method — qualitative and quantitative, generative and evaluative — with frameworks for choosing the right method and how AI-powered tools are transforming qualitative research at scale.
Churned Customer Interviews: How to Talk to Users Who Left (and Win Them Back)
Learn how to conduct churned customer interviews that reveal why users really left — and how AI-moderated interviews make it scalable. Includes questions, structure, and templates.
Grounded Theory in Qualitative Research: A Practical Guide
A practical guide to grounded theory methodology — how to collect, code, and analyze qualitative data to develop theory from the ground up, and how AI-powered tools accelerate the iterative analysis process.
Van Westendorp Price Sensitivity Meter: The Four-Question Pricing Research Method
The Van Westendorp Price Sensitivity Meter uses four questions to identify the optimal price for any product. Learn how to run the PSM with AI interviews at scale and combine the four numbers with qualitative reasoning.
Ideal Customer Profile (ICP): Definition, Template, and How to Build One with AI Interviews (2026)
A complete guide to building an Ideal Customer Profile — definition, B2B and B2C templates, ICP vs persona, real examples, and how to validate your ICP with Koji's AI interviewer in days, not months.
Lean Startup Methodology: The Complete 2026 Guide to Build-Measure-Learn
A practical guide to Lean Startup — Eric Ries's Build-Measure-Learn loop, validated learning, MVPs, pivot vs persevere, and how Koji's AI interviewer accelerates every loop.
Pretotyping: Build the Right It Before You Build It Right (Complete Guide)
The complete guide to pretotyping — Alberto Savoia's methodology for testing whether you should build a product at all before you build it. Learn the 7 core pretotype techniques, see the Palm Pilot and IBM speech-to-text case studies, and discover how AI-moderated interviews validate pretotype signal in days.
How to Identify and Validate Customer Pain Points Through Research
A complete guide to discovering the real problems customers face — using AI interviews, structured questions, and proven frameworks to surface pain points that drive product decisions.
NPS Follow-Up Interviews: How to Turn Your Score Into Actionable Insights
NPS tells you the score. Follow-up interviews tell you what to do about it. Learn how to run qualitative interviews with Promoters, Passives, and Detractors to unlock the real story behind your Net Promoter Score.
RICE Prioritization Framework: How to Score and Rank Product Ideas
Master the RICE scoring framework (Reach, Impact, Confidence, Effort) for product prioritization. Includes the formula, worked examples, free template, and how customer research transforms Confidence scores.
Mental Models in UX Research: How to Understand How Your Users Think
Mental models are the invisible assumptions users bring to your product. This guide covers how to research user mental models through interviews, card sorting, and think-aloud protocols — and how to apply findings to close the gap between user expectations and product behavior.
Qualitative Data Collection Methods: The Complete Guide
A comprehensive guide to every major qualitative data collection method — in-depth interviews, focus groups, observation, ethnography, diary studies, and more — with sample sizes, ethical considerations, and how to choose the right method.
Brand Research Interviews: How to Understand Brand Perception Through Conversation
A complete guide to running qualitative brand research interviews — covering brand perception, positioning validation, competitive differentiation, and brand equity — using AI-moderated conversations at scale.
Empathy Map: The Complete Guide to Building User Empathy
Learn how to create an empathy map from scratch — the 6-section framework, step-by-step process, common mistakes, and how AI-powered interviews with Koji give you richer empathy data in less time.
Customer Experience Benchmarking: How to Measure Against Industry Standards
A complete guide to CX benchmarking — how to measure your customer experience performance against competitors and industry standards using both quantitative metrics and qualitative interviews.
Concept Testing: The Complete Methodology Guide
How to evaluate product and marketing ideas with target audiences before development — covering methods, metrics, sample sizes, and AI-powered approaches.
What Is User Research? The Complete Beginner's Guide
A complete guide to user research — what it is, why it matters, the different types and methods, and how to get started.
Survey Fatigue: Why It's Getting Worse (And How AI Interviews Solve It)
Survey fatigue is driving response rates to historic lows. This guide explains why it is happening, what it costs your research, and how AI-moderated interviews deliver better data without burning out respondents.
Survey Question Types: The Complete Guide to 14 Question Types with Examples (2026)
A complete reference of every survey question type — open-ended, closed-ended, Likert, matrix, ranking, semantic differential, and more. When to use each, real examples, common pitfalls, and the AI-native approach that combines them all in one conversation.
User Persona Template: 7 Free Templates and Examples for Product Teams (2026)
A complete library of user persona templates with real examples — from lightweight personas you can build in an hour to research-backed personas that drive product decisions. Includes fillable fields, expert tips, and how to generate personas from real customer interviews with AI.
The Complete Guide to AI-Powered Qualitative Research
Everything you need to know about using AI for qualitative research — from methodology selection to automated analysis. Learn how AI interviews, voice conversations, and automated theming are transforming how teams understand their customers.
Service Blueprint: A Complete Guide for UX Researchers (2026)
Master service blueprinting — the visualization technique that maps frontstage and backstage processes behind every customer touchpoint. Includes the 5-step NN/g process, real-world examples from Airbnb and Spotify, and how to use Koji to gather the cross-functional research that makes blueprints accurate.
The Definitive Guide to User Interviews
Everything you need to plan, conduct, and analyze user interviews that produce actionable research insights.
AI Survey Generator: Build Smart, Adaptive Surveys in Minutes (2026 Guide)
A practical guide to AI survey generators in 2026 — how they turn a research goal into a complete questionnaire, why conversational follow-ups outperform static forms, and how Koji generates a full interview guide in under 60 seconds.
Customer Development: The Complete Guide to Steve Blank's 4-Step Methodology (2026)
Master Steve Blank's Customer Development methodology — Discovery, Validation, Creation, and Company Building. Learn the framework that prevents the #1 reason startups fail and how AI-native research platforms like Koji compress months of customer interviews into days.
The Complete Guide to Thematic Analysis
Learn how to systematically analyze qualitative data using Braun and Clarke's six-phase thematic analysis framework.
How to Write Great Interview Questions
Learn to craft open-ended, neutral interview questions that surface genuine user insights instead of confirmation bias.
Jobs-to-Be-Done Interview Guide
Learn the JTBD interview methodology to uncover why customers switch products and what progress they're trying to make.
The Mom Test: How to Talk to Customers Without Being Misled
Learn Rob Fitzpatrick's Mom Test methodology to ask questions that even your mother can't lie to you about.
How to Find and Recruit Research Participants
A practical guide to sourcing, screening, and scheduling the right participants for your qualitative research study.
How Many Interviews Are Enough? A Guide to Sample Size
Understand saturation, practical guidelines, and research-backed recommendations for qualitative sample sizes.
Affinity Mapping: Organize Qualitative Data Into Themes
Learn how to use affinity mapping to group qualitative research data into meaningful clusters and uncover actionable patterns.
Likert Scale Questions: How to Use Rating Scales in User Research
A complete guide to Likert scale questions in user research — what they are, when to use them, how to write them correctly, and how Koji's AI interviews take rating scales further by pairing quantitative scores with qualitative follow-up.
B2B User Research: How to Interview Enterprise Customers Without the Scheduling Nightmare
B2B user research is harder than consumer research — limited access, complex stakeholders, and brutal scheduling constraints. This guide explains how to run deep, qualitative enterprise research at scale using AI-moderated interviews.
Longitudinal Research: How to Track User Behavior and Attitudes Over Time
Longitudinal research captures how users change over time — not just a snapshot. This guide explains panel studies, cohort studies, and how AI-moderated interviews make multi-wave research feasible for any team.
Wizard of Oz Testing: How to Validate Product Ideas Without Building Them
The complete guide to Wizard of Oz testing — a UX research method where humans simulate AI or system functionality to test concepts before any code is written. Includes when to use it, how to design a study, ethical guardrails, and how AI interview platforms like Koji extend the method.
How Might We Questions: The Complete Framework for Turning Insights Into Innovation Opportunities
Master the How Might We (HMW) question framework — its origin from Min Basadur and IDEO, the linguistic logic of why it works, the seven HMW patterns, common mistakes, real examples like P&G Coast, and how AI-native research lets you generate sharper HMWs from real customer evidence.
System Usability Scale (SUS): Complete Guide with Calculator, Benchmarks & Examples
The definitive 2026 guide to the System Usability Scale (SUS): the 10-question formula, scoring calculator, Sauro–Lewis benchmark grades, and how to deploy SUS at scale with AI-moderated interviews on Koji.
Qualitative vs. Quantitative Research: When to Use Each Method
A clear breakdown of qualitative and quantitative research — what each method reveals, when to use each, and how to combine them for the most complete picture of your users.
Top Tasks Analysis: How to Identify the Few Tasks That Matter Most
A complete guide to top tasks analysis — Gerry McGovern's methodology for finding the small set of tasks customers actually use your product or website to accomplish. Includes how to run a top tasks survey, calculate the long-tail, and validate the findings with AI customer interviews.
Skip Logic in Surveys: A Complete Guide to Branching, Conditional Logic, and Smarter Question Flow
Skip logic — also called branching logic — routes respondents past irrelevant questions based on what they've already said. Learn when to use it, how to design it, and why static surveys cost you up to 40% of your data quality.
Messaging Testing: How to Find Copy That Converts (with Real Customers)
A complete guide to messaging testing — how to validate headlines, value propositions, and ad copy with real prospects before spending on launch. Covers monadic vs sequential designs, sample sizes, MaxDiff and forced-choice methods, and how to capture both the winner and the reasoning using AI conversational research.
User Research Goals and Objectives: A Complete Guide with Examples
How to define clear, measurable user research goals and objectives that align with business outcomes. Includes 12 real examples, the SMART framework adapted for research, common pitfalls, and how AI-native tools translate goals into ready-to-run interview scripts.
MaxDiff Analysis: The Complete Guide to Maximum Difference Scaling (2026)
Learn how MaxDiff (Maximum Difference Scaling) produces sharper feature and message prioritization than rating scales — and how to pair it with conversational AI interviews to capture the why behind every score.
Pilot Study in User Research: How to Pre-Test Your Methodology Before Going Live (2026)
A pilot study is a small-scale rehearsal of your full research project that catches broken questions, biased prompts, and recruiting issues before they invalidate your real data. Learn when to run one, how many participants you need, what to test, and how AI-moderated platforms compress the pilot loop from weeks to hours.
Job Stories vs User Stories: Which Format Should Your Team Use?
A practical comparison of job stories and user stories — the two dominant formats for capturing what software needs to do. Includes when each format wins, how to convert one to the other, and how to source job stories directly from customer interviews.
Data Saturation in Qualitative Research: How to Know When You Have Enough
Data saturation is the point at which additional interviews stop producing new information. This guide covers the four types of saturation (theoretical, data, code, meaning), how to recognize and document them, the empirical sample sizes from Hennink and Guest, and how AI-moderated interviews let you reach saturation in days instead of months.
Conjoint Analysis: The Complete Guide to Trade-Off Research (2026)
A complete guide to choice-based conjoint analysis (CBC) for pricing, feature bundling, and competitive simulation — plus how AI-native research platforms make conjoint accessible without specialist consultants.
Formative vs. Summative Research: When to Use Each Method (And Why It Matters)
Formative research shapes a product while it's still being built. Summative research evaluates how it performs after it ships. Confusing the two is the most common reason research budgets get wasted on the wrong question at the wrong time.
User Acceptance Testing (UAT): A Practical Guide for Product Teams in 2026
Everything product teams need to plan, run, and sign off User Acceptance Testing (UAT) in 2026 — the 7-step process, the 6 UAT types, exit criteria, common pitfalls, and how Koji turns scattered UAT feedback into a single ranked report.
Triangulation in Research: Combining Methods for Stronger, More Credible Insights (2026)
Triangulation is the practice of using multiple data sources, methods, researchers, or theories to validate a finding. Learn Denzin's four types, when to use each, and how AI-native research platforms make multi-method studies practical instead of aspirational.
Brand Tracking Studies: How to Measure Brand Health Over Time (2026)
A complete guide to brand tracking studies — what to measure, how often to run them, sample size, and how AI-native platforms make continuous brand tracking affordable for the first time.
Inductive vs Deductive Research: When to Use Each Approach (with Examples)
A clear, practical 2026 guide to inductive vs deductive research approaches: definitions, when to use each, the hybrid abductive approach, and how Koji blends both into a single AI-moderated workflow.
Task Analysis in UX Research: A Complete Methodology Guide
Task analysis is the foundation of usability — the systematic study of how users complete goals. This guide covers hierarchical task analysis (HTA), cognitive task analysis (CTA), the 7-step process, real examples, and how AI-moderated voice interviews let teams build task models from hundreds of users in days.
Synthetic Users in Research: Validity, Bias, and When AI Personas Are (and Aren't) Trustworthy
A research methodology guide to synthetic users — what they are, the documented bias problems (sycophancy, sign-flipping, shallow insights), the legitimate use cases, and why real AI-moderated interviews are now fast enough that the synthetic-vs-real tradeoff has fundamentally shifted.
Conversational Surveys: How AI Interviews Replace Forms (2026)
A complete guide to conversational surveys — what they are, how they differ from chatbot surveys and AI interviews, why they produce 5-10x richer data than forms, and how to design one well.
UX Research Process: A Complete Framework for 2026
A practical end-to-end guide to the UX research process — from defining your research question to activating insights that actually change product decisions.
AI-Moderated Focus Groups: How to Run Group Research Without a Human Moderator
How AI-moderated focus groups work, when they outperform traditional groups, and how to run them at scale. Get the depth of focus group research without scheduling, moderation, or groupthink.
UX Research Plan Template: How to Structure Any Research Project
A UX research plan aligns your team on what you are studying, why it matters, and what you will do with the findings. This guide provides a complete template and instructions for writing a research plan that stakeholders will actually read and act on.
Kano Model: How to Prioritize Features Using Customer Research
A complete guide to the Kano Model — the feature prioritization framework that maps customer emotions to product decisions. Learn how to run Kano surveys, classify features, and build products customers love.
Ethnographic Research: Methods, Examples, and UX Applications
A complete guide to ethnographic research in UX and product design. Learn field study methods, how to bridge the say-do gap, remote ethnography techniques, and how AI accelerates ethnographic insight at scale.
Think-Aloud Protocol: How to Run and Analyze Think-Aloud Sessions
A complete guide to the think-aloud protocol — the most widely used usability testing method. Learn how to set up sessions, moderate effectively, analyze verbal data, and run remote think-aloud studies.
Focus Group Research: The Complete Guide
Learn when to use focus groups, how to design and moderate them, and when AI-powered individual interviews are a better fit.
First-Click Testing: The Complete Guide to Validating Navigation and Findability (2026)
Master first-click testing — the lightweight UX research method that predicts task success. Learn when to use it, how to run one, sample size guidance, and how to combine click data with AI interviews for the why behind the click.
The 5-Second Test: How to Measure First Impressions and Visual Hierarchy (2026 Guide)
A complete guide to the 5-second test — the lightweight UX research method that measures gut reactions, message clarity, and visual hierarchy. Learn how to design questions, recruit participants, analyze results, and combine 5-second tests with AI interviews.
Sampling Methods in Qualitative Research: A Complete Guide for Choosing the Right Approach (2026)
Master the eight sampling methods used in qualitative research — purposive, theoretical, snowball, convenience, quota, criterion, maximum variation, and homogeneous. Learn when to use each, how to combine them, and how to determine sample size.
Research Ethics and Informed Consent: A Practical Guide for UX Teams
A practical guide to ethical UX research — covering the Belmont Report's three principles, GDPR informed consent requirements, how to handle AI tools responsibly, and how to build ethical maturity in your research practice.
Customer Journey Mapping: The Complete Guide for UX Teams
Learn how to create customer journey maps that reveal pain points, emotional highs and lows, and opportunity areas — and how AI-powered interviews give you the research data to build them faster.
Assumption Testing: How to Validate Product Assumptions Before You Build
Learn how to identify, prioritize, and test the assumptions behind your product decisions — before building the wrong thing. Includes the assumption mapping framework, testing methods, and how AI interviews accelerate validation.
How to Run a UX Research Sprint: The Complete 5-Day Framework
A step-by-step guide to running a focused UX research sprint in 5 days — from question definition to shareable insights — using AI interviews to 10x your speed.
Feature Adoption Research: How to Interview Users Who Aren't Using Your Product
A complete guide to understanding why users ignore, avoid, or misuse features — and how to use AI-powered interviews to get honest answers at scale.
Competitive Intelligence Interviews: What Your Customers Know About Your Competitors
How to gather competitive intelligence through customer interviews — understanding why people chose you, what competitors they evaluated, and what would make them switch.
Asynchronous User Interviews: The Complete Guide to Async Research
Learn how asynchronous user interviews work, why they outperform scheduled sessions for scale, and how AI makes async research as rich as live interviews.
Survey Design Best Practices: From Question Writing to Data Collection
Learn how to design effective surveys with proven best practices for question writing, flow, bias reduction, and data collection — including when to go beyond surveys to AI-powered interviews.
Pricing Research Interviews: How to Understand What Customers Will Pay
Discover how to run qualitative pricing research interviews that reveal willingness to pay, price anchors, and the emotional logic behind buying decisions — beyond what surveys can surface.
Mixed Methods Research: How to Combine Qualitative and Quantitative Data
Learn how to design and run mixed methods research that combines the statistical power of quantitative data with the depth of qualitative insight — including how AI interview platforms like Koji make mixed methods accessible to every research team.
Attitudinal vs. Behavioral Research: What Users Say vs. What They Do
The definitive guide to attitudinal vs. behavioral research — understand the say-do gap, NNG's 2x2 framework, when to use each method type, and how AI-powered interviews scale attitudinal research.
User Research vs. Market Research: Definitions, Differences, and When to Use Each
A complete breakdown of user research vs market research — what each discipline answers, when to use which, where they overlap, and how modern AI interview platforms are merging both into a single workflow.
Jobs to Be Done Framework: The Complete Guide
The definitive guide to the Jobs to Be Done (JTBD) framework — its history, two schools of thought, how to write JTBD statements, famous examples, how to conduct JTBD research, and how AI interviews enable JTBD at scale.
The 5 Whys Technique: Root Cause Analysis for User Research and Product Teams
Learn how to apply the 5 Whys technique in user research and product development to move from surface-level symptoms to actionable root causes — and how AI-powered interviews automate systematic probing at scale.
Double Diamond Design Process: The Research-Driven Framework for Product and UX Teams
The complete guide to the Double Diamond design process — Discover, Define, Develop, Deliver — with research methods for each phase, real case studies, and how AI-powered interviews accelerate the first diamond.
How to Write a UX Problem Statement: Templates, Examples, and Best Practices
A complete guide to writing UX problem statements grounded in user research — with three standard formats (POV, HMW, Job Story), step-by-step process, good vs. bad examples, and how Koji accelerates the research needed to define the right problem.
Research Brief Template: How to Define Your Research Before You Start
A complete research brief template with sections for problem context, participant profile, methodology, and success criteria — the foundation of any effective user research project.
Behavioral Research Methods: The Complete Guide for Product and UX Teams
A complete guide to behavioral research methods — what people actually do, not what they say they do. Methods, examples, and how AI-native research with Koji adds the "why" behind the behavior.
Preference Testing: The Complete Guide to Validating Design Choices (2026)
A complete guide to preference testing in UX research — when to use it, how to write the questions, how to calculate sample size, how to analyze the results, and how AI-native research with Koji turns binary "A or B" votes into qualitative insight in minutes.
User Research Mistakes: 14 Pitfalls That Sabotage Your Insights (2026)
The most common user research mistakes that lead to misleading insights — and how to avoid each one with better methodology and AI-powered interviews.
Solution Interviews: How to Validate Product Ideas Before You Build
A practical guide to running solution interviews — the second half of customer development — to test whether your proposed solution actually solves a real, painful problem.
Outcome-Driven Innovation (ODI): The Ulwick Method for Identifying Unmet Customer Needs
A practical guide to Anthony Ulwick's Outcome-Driven Innovation methodology — how to capture desired outcome statements, prioritize unmet needs, and turn JTBD theory into a measurable roadmap.
Customer Discovery Workshop: The Step-by-Step Playbook with Templates (2026)
A complete, time-boxed customer discovery workshop playbook — agenda, exercises, templates, and the AI-native interview pipeline that turns workshop hypotheses into evidence within days. Designed for founders, product trios, and discovery teams running their first or fiftieth workshop.
Focus Groups vs. Interviews: How to Choose the Right Method
Learn when to use focus groups vs. individual interviews in qualitative research. Includes a comparison table, decision framework, and guidance on avoiding groupthink bias.
The Mom Test at Scale: How AI Interviews Replace Manual Customer Discovery
Learn how to apply Mom Test principles at scale using AI-moderated interviews. Includes question templates, common mistakes, and how to convert survey questions.
How to Run 50 Switch Interviews in a Week Without a Research Team
The JTBD Switch Interview captures the Forces of Progress behind every customer decision. This guide shows how AI interviewers automate the technique at 10x scale while maintaining methodological rigor.
Customer Discovery Interviews: The Complete Guide
Learn how to conduct customer discovery interviews to validate your product ideas before building. Covers Steve Blank methodology, question frameworks, sample sizes, and common mistakes.
Contextual Inquiry: The Complete Guide to Observational Research
Learn how to run contextual inquiry sessions to uncover the real workflows, workarounds, and behaviors your users can't articulate in interviews.
How to Conduct Usability Testing: The Complete Guide
A comprehensive guide to usability testing for UX researchers and product managers. Covers types of testing, participant numbers, step-by-step facilitation, and the most common mistakes to avoid.
Surveys vs. Interviews: How to Choose the Right Research Method
A comprehensive comparison of surveys and interviews as research methods. Understand when to use each, the key trade-offs, how to combine them in mixed-methods studies, and why the choice matters for research quality.
Unmoderated vs Moderated User Research: How to Choose
Understand the real differences between moderated and unmoderated user research — and how AI-moderated interviews give you depth at scale that traditional approaches never could.
Diary Studies: The Complete Guide to Longitudinal User Research
Learn how to design, run, and analyze diary studies that capture real user experiences in context. Includes how AI interviews complement diary research at scale.
How to Create Research-Backed User Personas from Customer Interviews
Learn how to build accurate user personas using qualitative interviews rather than assumptions. Includes a step-by-step process for recruiting, interviewing, clustering, and maintaining personas.
Card Sorting: The Complete Guide to Information Architecture Research
Everything you need to run effective card sorting studies — open, closed, and hybrid variants. Includes sample sizes, analysis techniques, and how to combine card sorting with qualitative interviews.
Generative vs. Evaluative Research: When to Use Each Method
Understand the difference between generative and evaluative research, when to use each, and how combining both leads to better product decisions. Includes a comparison table and decision framework.
How to Validate Product-Market Fit Through Qualitative Interviews
Learn how to design and run customer interviews specifically focused on measuring and moving your product-market fit score.
Semi-Structured Interviews: The Complete Guide
Learn how to design, run, and analyze semi-structured interviews — the gold standard for qualitative research that balances structure with flexibility.
Win/Loss Analysis: How to Learn Why You Win and Lose Deals
A complete guide to running win/loss analysis interviews that improve win rates, sharpen positioning, and give product teams real competitive intelligence.
Startup Idea Validation: How to Test Your Idea with Customer Interviews
A research-backed guide to validating startup ideas through customer interviews — before you write a line of code.
Employee Retention Research: Stay Interviews, Exit Interviews, and What Actually Works
How to use qualitative research — stay interviews, exit interviews, and engagement conversations — to understand why employees leave and what makes them stay.
How to Write a Research Brief: Templates, Examples, and AI-Assisted Generation
A step-by-step guide to writing an effective user research brief. Covers the 7 essential components, participant targeting, methodology selection, and how Koji's AI generates briefs automatically from a plain-language goal.
Opportunity Solution Tree: The Complete Guide to Continuous Product Discovery
Learn how to build and use the Opportunity Solution Tree (OST) framework — Teresa Torres' visual map for connecting business outcomes to validated customer solutions through continuous discovery. Includes step-by-step instructions, templates, and how Koji automates the evidence-collection process.
Customer Insights: The Complete Guide to Definition, Types, Examples, and How to Generate Them
Learn what customer insights actually are, how they differ from data and observations, the seven main types with examples, and a modern AI-powered framework for generating insights that drive growth.
Quantitative User Research: Methods, Examples, and When to Use Them
A complete pillar guide to quantitative user research — the 9 core methods (surveys, A/B testing, analytics, tree testing, SUS, and more), when to use each, sample size rules, and how AI is bridging quant and qual.
Guerrilla User Research: The Complete Guide to Fast, Low-Cost Feedback
Learn how to run guerrilla user research — the informal, rapid method for collecting user feedback in coffee shops, online communities, and in-app intercepts. Includes step-by-step instructions, 5-user rule explained, and how AI-moderated interviews make guerrilla research faster and more precise.
Behavioral Segmentation: Definition, 8 Types, Examples, and How to Build Segments
A complete guide to behavioral segmentation — what it is, how it differs from demographic segmentation, the 8 main types with examples, the data and research methods that power it, and how AI-native interviews unlock the 'why' behind every segment.
How to Get Customer Feedback: 10 Methods That Actually Work
A complete guide to collecting high-quality customer feedback. Covers the 10 best methods — from interviews and NPS to in-app microsurveys and review mining — with response rate benchmarks, timing guidance, and a practical feedback cadence.
Intercept Research: How to Capture Feedback at the Moment of Truth
A practical guide to intercept research — surveys and prompts that capture feedback during or immediately after user interactions. Covers exit-intent, in-app microsurveys, post-action triggers, and the timing rules that determine whether users respond or dismiss.
How to Write a Research Hypothesis: A Step-by-Step Guide for Product & UX Teams
Master the art of writing testable research hypotheses. Learn the if-then-because format, null vs alternative hypotheses, common pitfalls, and how AI-native research turns hypotheses into validated learnings in days, not months.
Audience Research: The Complete Guide for Marketing & Product Teams
A practitioner's guide to audience research in 2026. Learn the four research types — demographic, psychographic, behavioral, and attitudinal — plus a six-step methodology and how AI-native platforms like Koji turn weeks of audience work into hours.