RA LAB / BUSINESS PROBLEM SOLVER
From your problem to a goal, practical steps and a valuable result.
Growth System × Human + AI.
RA LAB / BUSINESS PROBLEM SOLVER
Describe your situation or choose a problem. Every route has a goal, a valuable final deliverable and practical steps.
Find a testable reason for churn and an appropriate next-contact moment.
A repeat-purchase map, an AI-assisted segmentation hypothesis and a retention test plan.
Find a workflow barrier and test a change with the team.
A barrier map, a human-control agreement and an adoption and quality test plan.
Find a cross-channel gap and verify that customers can continue without repeating their request.
A journey and context-handoff map, a gap list and an end-to-end test record for one scenario.
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02 / SOURCE CATALOG
How AI can support sales, retention, order value, partnerships, referrals and cash flow. Choose a lever to see relevant materials and tests.
B2B customer-base monitoring: missed purchase cycles, gaps in contact and a next action for repeat sales. A resource for growth lever 02 — retention.
Field evidence on productivity and heterogeneous effects across worker experience.
Connects desired outcomes, opportunities, solutions and assumption tests in a weekly cadence.
Uses customer purpose as the endpoint that organizes journeys and measurement.
A playbook for self-serve value, time-to-value and product-led acquisition.
18 interaction guidelines covering expectations, explanations, correction, feedback and control.
A field guide for finding, prioritizing and expanding AI use cases from tasks into end-to-end workflows.
Patterns for deciding when an agent is appropriate, designing orchestration and applying layered guardrails.
Empirical patterns of how AI supports tasks, occupations and human–AI division of work.
A systems view of growth across market, product, channel and model fit—useful for testing whether a GTM engine can compound.
A detailed operating guide to CAC, LTV, churn, payback and the metrics that explain recurring-revenue growth.
Twelve metrics for diagnosing the health, efficiency and scalability of a SaaS growth engine.
A shared discovery language across Situation, Pain, Impact, Critical Event and Decision for customer-centered revenue conversations.
A six-model GTM operating system connecting revenue, customer lifecycle data, math, execution and growth stages.
03 / PEOPLE TO FOLLOW
The library deliberately crosses strategy, economics, HCI, product discovery, experimentation, governance and pricing.
04 / 90-DAY IMMERSION
Reading becomes useful only when it changes the project. This route links each learning block to a practical GRI AI deliverable.
FROM KNOWLEDGE TO FIELD EVIDENCE
