MIRROR / CASE STUDYLAPTOP Token Analysis: Inside a Mirror AI Simulation
From a token research brief to a knowledge graph and four possible futures: see how Mirror turns a crowded crypto narrative into questions you can investigate.
Read the guideTHE MIRROR JOURNAL / FIELD NOTES & METHODS
Think ahead.
Decide with context.
Research workflows, launch rehearsals and honest conversations about what AI simulation can—and cannot—tell you.
21 ARTICLES & GUIDESEvidence first. Assumptions visible.
MIRROR / CASE STUDYExplore the field guides
RSS feed ↗AI Product Concept Testing Before You Build
Find the assumption that could break your product concept before investing in a full build.
Read the guideAI Win-Loss Analysis for B2B Sales Teams
Learn why deals move, stall or disappear without treating a CRM dropdown as the full explanation.
Read the guideAI Market Entry Analysis: Compare New Markets
Compare expansion options through customer access and operating constraints, not attractive headline numbers.
Read the guideAI Crisis Communication Simulation for Brands
Rehearse an uncertain announcement before your team has to make decisions under public pressure.
Read the guideAI Stakeholder Analysis for Change Management
Explore the practical reasons people may resist a rollout before writing another announcement.
Read the guideAI SaaS pricing research: test packaging before changing prices
Explore pricing trade-offs without mistaking simulated answers for willingness to pay.
Read the guideAI feature prioritization for SaaS: challenge your roadmap assumptions
Use AI to challenge the inputs behind a roadmap score, then test the decision with customers.
Read the guideAI customer review analysis for ecommerce: find product-page opportunities
Turn review themes into better product information without inventing customer claims.
Read the guideAI go-to-market strategy for B2B SaaS: pressure-test the first campaign
Replace a generic launch plan with one audience, one buying situation and one testable offer.
Read the guideMulti-agent AI market research tools: a buyer’s evaluation checklist
Judge a research tool by the decision it helps you make, not the number of agents it advertises.
Read the guideAI competitor analysis for SaaS: build a useful positioning brief
Turn a crowded feature comparison into a clear explanation of why a specific buyer might switch.
Read the guideBuild a B2B ideal customer profile with AI and real evidence
Identify the situations where your product solves an urgent problem, then define who should not enter your pipeline.
Read the guideAI sales objection analysis: turn lost deals into better discovery
Find out which concern needs evidence, which needs a product change and which means the prospect is a poor fit.
Read the guideAI customer churn research: investigate why customers leave
Separate payment problems, unmet expectations and changing customer needs before choosing a retention intervention.
Read the guideAn AI strategy workshop for marketing agencies: a practical agenda
Give the client a decision they can act on, supported by a clear record of evidence, assumptions and next tests.
Read the guideAI market research for startups: from assumptions to a testable plan
Use AI to find the questions your research needs to answer—not to invent evidence that customers will buy.
Read the guideAI product launch message testing: rehearse objections before you spend
Stress-test what your message promises, what buyers hear and where trust could break before launch.
Read the guideSynthetic customers vs real customer research: what AI agents can tell you
A useful rehearsal is not a representative sample. Keep simulated reactions separate from customer evidence.
Read the guideAI scenario planning for marketing: build a practical what-if playbook
Replace a single confident forecast with a set of plausible situations and decisions you can prepare for.
Read the guideCustomer journey mapping with AI: find friction worth investigating
Connect what customers do, what your evidence shows and what your team still needs to learn.
Read the guide