The Friction Map: Diagnose a Content Funnel Before Rewriting the CTA
A measurement-first method for finding where a reader journey loses clarity, confidence, effort, or continuity before you change the call to action.
Pillar 07
Map reader journeys, improve calls to action, diagnose friction, and run measured experiments.
Published guidance
A measurement-first method for finding where a reader journey loses clarity, confidence, effort, or continuity before you change the call to action.
Separate the reader's lived decisions from the seller's stages, then map evidence, exits, loops, and repair paths before choosing channels.
Run a focused mapping workshop that connects reader questions, evidence, exits, and recovery paths without forcing everyone into a linear funnel.
Diagnose misleading funnel signals by separating measurement loss, healthy exits, comprehension failures, trust gaps, and broken recovery paths.
Compare three planning views by the decision they support, the evidence they require, and the reader or operational detail each one leaves out.
Use an evidence-dated audit to find linear-map bias, missing reader groups, unowned handoffs, and recovery routes before automating the journey.
Define clarity by what a cautious first-time visitor can correctly explain about the offer, fit, evidence, cost, and next step.
Test what first-time visitors can explain, locate, and predict, then revise the smallest clarity failure instead of adding more persuasion.
Trace weak performance to message mismatch, missing facts, poor findability, unfamiliar language, or uncertain actions before redesigning the page.
Choose a landing-page structure by reader uncertainty, evidence burden, offer complexity, mobile context, and the cost of a mistaken action.
Verify message match, offer meaning, evidence, material terms, mobile reading order, action consequences, and recovery before traffic arrives.
Treat every CTA as a promise about the next state, matching its wording, prominence, timing, evidence, and reversibility to reader intent.
Build a stage-by-stage CTA rationale that starts with reader readiness, then specifies consequence, context, hierarchy, disclosure, and recovery.
Diagnose CTA failure across relevance, prediction, discoverability, technical handoff, accessibility, and post-click fit before changing color.
Compare CTA patterns by semantic purpose, readiness, interruption, mobile behavior, persistence, disclosure needs, and recovery cost.
Verify action meaning, reader readiness, semantic behavior, disclosure, mobile access, error states, and downstream fit before release.
Turn a conversion drop into competing, testable explanations and choose the least expensive observation that can separate them before editing.
Read drop-off alongside error, performance, comprehension, trust, and fit signals so a visible symptom does not become an invented cause.
Compare four evidence approaches by the question they answer, their blind spots, and the conditions under which each can narrow a friction hypothesis.
Use six release gates to verify the symptom, competing mechanisms, evidence quality, intervention boundary, guardrails, and recheck trigger.
Design tests around a decision, assignment unit, estimand, guardrails, and stopping rule so attribution remains bounded to what was actually tested.
Create a one-page experiment record that fixes the decision, population, variants, metrics, quality checks, analysis, and stop conditions in advance.
Diagnose assignment, exposure, instrumentation, analysis, and decision failures before interpreting a precise-looking experiment scorecard.
Choose among randomized, time-based, and qualitative evidence by assignment feasibility, interference, traffic, mechanism uncertainty, and decision cost.
Apply seven evidence gates to the plan, allocation, exposure, metrics, analysis, harm checks, and attribution claim before acting on a test.