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Frameworks

24 articles

Proven product and strategy frameworks, from Lean Canvas and North Star metrics to SWOT and Jobs to Be Done, and how to ground each one in customer research.

North Star Metric Framework: How to Find, Validate, and Move Your Product's One Metric That Matters (2026 Guide)

The complete 2026 guide to the North Star Metric framework: definitions, criteria, real-world examples (Spotify, Airbnb, Slack, Duolingo), input-metric trees, and the customer research methodology that validates the metric you choose.

ICE Prioritization Framework: Score Impact, Confidence & Ease

A complete guide to the ICE prioritization framework — how to score ideas by Impact, Confidence, and Ease, run an ICE session, and use customer research to defend your Confidence scores.

Porter's Five Forces: A Research-Backed Guide to Analyzing Industry Competition (2026)

Porter's Five Forces is the classic framework for judging how attractive and profitable an industry really is: competitive rivalry, threat of new entrants, threat of substitutes, bargaining power of buyers, and bargaining power of suppliers. Learn what each force means, the questions that reveal it, the mistakes that turn the analysis into a desk-research guess, and how AI-moderated buyer and competitor interviews supply the primary evidence each force demands.

The Hooked Model: How to Build Habit-Forming Products (and Research Them)

The complete guide to Nir Eyal's Hooked Model — trigger, action, variable reward, investment — with the behavioral science, retention data, and how to research each stage of the hook using AI-moderated customer interviews.

Marketing Mix (4Ps): How to Build Each P on Real Customer Research (2026)

The marketing mix (4Ps: Product, Price, Place, Promotion) is the classic checklist for taking a product to market. Learn each P, the extended 7Ps and customer-centric 4Cs, and how to ground every lever in real customer evidence with AI interviews instead of assumptions.

PESTEL Analysis: A Practical Guide to Scanning Your Macro-Environment (2026)

PESTEL analysis maps the six macro-environmental forces shaping your market — Political, Economic, Social, Technological, Environmental, and Legal. Learn what each factor covers, how PESTEL differs from SWOT and Porter's Five Forces, the mistake that makes it a list of headlines instead of a strategy input, and how AI-moderated interviews connect distant macro trends to the concrete behavior of your actual customers.

Business Model Canvas: The Complete Guide (2026)

A practical guide to the Business Model Canvas — the nine building blocks, how to fill each one, common mistakes, and how to validate every assumption with real customer research using AI-moderated interviews.

Jobs to Be Done vs Personas: Which One Should Your Team Use?

How Jobs to Be Done and personas differ, where each one fails, and how to get both from one round of customer interviews.

Value Proposition Canvas: The Complete 2026 Guide to Designing Products Customers Actually Want

Master Alex Osterwalder's Value Proposition Canvas — Customer Profile (jobs, pains, gains), Value Map (products, pain relievers, gain creators), the fit test, real examples from Uber and Airbnb, and how Koji populates the customer side from real AI interviews instead of guesses.

Ansoff Matrix: How to Choose a Growth Strategy Grounded in Customer Research (2026)

The Ansoff Matrix maps four growth strategies — market penetration, product development, market development, and diversification — by risk. Learn each quadrant, why risk climbs across the grid, and how to validate every growth bet with AI customer research instead of assumptions.

Blue Ocean Strategy: How to Find Uncontested Market Space with Customer Research (2026)

Blue Ocean Strategy is a framework for creating new, uncontested market space instead of fighting rivals in a crowded red ocean. Learn value innovation, the ERRC grid, the strategy canvas, and how to validate a blue ocean by researching noncustomers with AI interviews.

Impact Mapping: A Complete Guide to Outcome-Driven Roadmaps

Learn how to build an impact map — connecting business goals, actors, behavior-change impacts, and deliverables — so your roadmap ships outcomes instead of unused features.

STP Marketing Framework: Segmentation, Targeting & Positioning (Complete Guide)

The complete guide to the STP marketing framework — segmentation, targeting, and positioning. Learn each step, see real examples, avoid the common mistakes, and discover how AI-moderated interviews let you build and validate segments in days instead of months.

AARRR Pirate Metrics: The Complete Framework for Startup Growth + Customer Research (2026 Guide)

The complete 2026 guide to AARRR (Pirate Metrics): Dave McClure's five-stage funnel, modern critiques from Brian Balfour and Thomas Petit (RARRA), how it compares to growth loops and HEART, and the customer research methodology for every stage.

The Fogg Behavior Model (B=MAP): A Product Research Guide

The complete guide to BJ Fogg's Behavior Model — Behavior = Motivation x Ability x Prompt — with the behavioral science, product applications, and how to research motivation, ability, and prompts using AI-moderated interviews.

The Universal Job Map: How to Map a Customer Job Step by Step

How to build a Jobs to Be Done job map with Ulwick's eight steps, run job mapping interviews and find the steps where customers struggle most.

The Peak-End Rule: How Customers Actually Remember Your Experience

The complete guide to the peak-end rule — the behavioral science behind how customers judge experiences by their most intense moment and their ending, with research evidence, CX applications, and how AI interviews surface emotional peaks at scale.

Lean Canvas: The 2026 Guide to Mapping, Validating, and Iterating Your Startup in One Page

Master Ash Maurya's Lean Canvas — the 9 blocks, the right fill order, how it differs from the Business Model Canvas, the riskiest-assumption test, and how Koji validates each block with real AI customer interviews in hours.

SWOT Analysis for Customer Research: Building Strengths, Weaknesses, Opportunities & Threats on Real Evidence (2026 Guide)

SWOT analysis maps your strategic position across four quadrants — Strengths and Weaknesses (internal) and Opportunities and Threats (external). It is one of the most-used strategy tools in business, and one of the most misused: most teams fill the grid with opinion instead of evidence. Learn the correct method, the TOWS action step most people skip, the biases that quietly wreck a SWOT, and how AI-moderated customer interviews ground every quadrant in real data in days.

The Product Pre-Mortem: De-Risk a Launch Before You Build

A step-by-step guide to running a product pre-mortem — the prospective-hindsight technique that surfaces why a launch will fail before you write a line of code, then validates each risk with real customers.

User-Centered Design (UCD): The Complete Guide with Process, Principles, and ROI

A complete guide to user-centered design (UCD): the ISO 9241-210 definition and principles, the four-phase UCD process, the difference from design thinking, the proven ROI, and how AI-moderated research keeps users at the center at scale.

Crossing the Chasm: The Technology Adoption Lifecycle for Product Teams

A practical guide to Geoffrey Moore's Crossing the Chasm and the technology adoption lifecycle: the five adopter segments, why the chasm exists between early adopters and the early majority, and how customer research helps you cross it.

The Product Discovery Framework: A Complete 2026 Methodology for Continuous Customer Discovery

The definitive product discovery framework — combining continuous customer interviews, opportunity solution trees, JTBD, assumption testing, and the product trio model. Includes a weekly operating rhythm, sample-size math, and how AI-moderated discovery scales the framework across an entire product org.

The Riskiest Assumption Test (RAT): Validate the One Thing That Can Kill Your Product

A complete guide to the Riskiest Assumption Test (RAT): how to find the single assumption most likely to sink your product, design a cheap experiment to test it, and use AI interviews to get an answer in days instead of months.