Shivam.Consulting Blog
AI products, enablement & hiring
- AI Strategy (274)
- Generative AI (105)
- IT Leadership (32)
- Leadership (78)
- Product Management (324)
- Product Management Leadership (286)
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How to Run AI-Assisted Feature Launches That Drive Growth
A practical operating model for using agents, feature flags, behavioral data, and decision rules to turn each feature launch into a measurable growth loop.
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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How to Build a SaaS Retention and Expansion System
Build a closed-loop SaaS system that turns product, support, CRM, and billing signals into measurable retention and expansion playbooks.
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Outcome-Based Pricing That Delivers: Pay $10 Only for Qualified Leads with Fin for Sales
Pay only when Fin delivers value: $10 per qualified lead that your team defines. This outcome-based pricing aligns cost with real sales pipeline, not activity, conversations,…
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4 Costly Agent Analytics Myths—And the Data-Backed Metrics I Rely on Instead
Agent Analytics can mislead when we over-index on speed, containment, or early green dashboards. I share four common myths I see in human and AI agent…
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How to Evaluate a Shopify-Native AI Shopping Agent
A practical framework for judging whether a Shopify-native AI agent can improve discovery, conversion, and support without adding operational risk.
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How to Scale Session Replay Without Sacrificing Privacy
A practical operating model for scaling session replay with strict capture controls, performance budgets, targeted sampling, and measurable governance.
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How to Link AI Evals to Retention Without Chasing Proxies
A practical playbook for finding early AI quality signals that predict retention, validating causality, and turning them into product decisions.
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Amplitude MCP: Evidence-Grounded AI Workflows for Product Teams
A practical playbook for grounding product decisions, bug investigations, and AI-generated changes in Amplitude behavioral evidence, with clear decision gates.
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Taste vs. Evidence in the AI Era: What Product Leaders Must Invest In Now
Is “taste” truly a must-have skill in the AI era or just hype? After listening to Teresa Torres and Petra Wille, I share why opinionated product…
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5 Proven Agent Skills I Use to Automate Weekly Product Reviews with Claude, Cursor, and Codex
Weekly product reviews can be fast, focused, and high-signal when agentic AI does the prep work. I use five repeatable agent skills—backlog triage, PRD synthesis, experiment…
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Mastering Product Marketing with Amplitude Analytics: Proven Playbooks for Sustainable Growth
Discover how I apply Amplitude Analytics and behavioral analytics to connect product strategy with go-to-market strategy. Learn practical methods to improve user activation, run rigorous retention…
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Master Opportunity Mapping with Continuous Discovery Habits — Join the May 2026 Book Club
This May, I’m leading a community read-along of Continuous Discovery Habits with a practical focus on opportunity mapping and outcome-driven product discovery. You’ll get a chapter…
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Supercharge Claude and Cursor with Amplitude Plug and Play: Your AI Analytics Expert in One Install
I’m introducing Amplitude Plug and Play, a new AI plugin for the Claude and Cursor marketplaces. With a single-install, it turns your favorite AI client into…
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Developer-First Amplitude Instrumentation You Can Trust
A practical workflow for making Amplitude events reviewable, testable, and trustworthy from tracking-plan design through production monitoring and repair.
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How to Build a Reliable WhatsApp AI Ordering Agent
A practical guide to scope, architect, evaluate, and roll out WhatsApp AI ordering without sacrificing response time or order accuracy.
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CPO Leadership in the AI Era: A Practical System for Focus
A practical operating system for turning AI pressure into measurable bets, clear decision rights, protected discovery, and durable customer value.
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AI Product Growth: A Strategy and Execution Operating System
Learn how to turn an AI capability into adoption and revenue with a focused growth thesis, closed-loop instrumentation, evals, and disciplined experiments.
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How to Run Customer-Facing AI Agents Across Sales and Support
A practical operating model for assigning, measuring, governing, and improving AI agents that serve buyers and support customers without losing trust.
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Amplitude AI Product Analytics: A Practical Agent Playbook
Use this practical framework to instrument, evaluate, experiment with, and scale Amplitude Agents around product outcomes rather than AI activity.
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Browse topics
- AI Strategy (274)
- Generative AI (105)
- IT Leadership (32)
- Leadership (78)
- Product Management (324)
- Product Management Leadership (286)
- Uncategorized (32)
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