Shivam.Consulting Blog
AI products, enablement & hiring
- AI Strategy (374)
- Generative AI (108)
- IT Leadership (37)
- Leadership (79)
- Product Management (369)
- Product Management Leadership (341)
- Uncategorized (32)
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Turn Claude Code Into a Trusted Teammate: My 3-Layer Memory System You Can Copy
I used to waste hours repeating the same context to AI and getting generic, off-the-mark feedback. By giving Claude Code a persistent, file-based memory, I now…
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How to Build a Product Positioning and Messaging Strategy
A practical method for choosing a defensible product position, translating it into clear messages, validating it, and aligning product with go-to-market.
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The Product Playbook: Measuring Agent Performance with Pendo and Agent Analytics to Drive ROI
Measuring agent performance isn’t just about faster responses—it’s about creating a continuous feedback loop between product and support. By pairing Pendo’s product analytics with Agent Analytics,…
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AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
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From Engineer to Product Manager: A Practical Transition Plan
A practical 90-day plan to build product judgment, prove it through real outcomes, and move from engineering into product management with less career risk.
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Your Ultimate ProductCon San Francisco 2025 Guide: Best Hotels, Eats & Drinks
Plan your ProductCon San Francisco 2025 trip like a product pro. I share a proven, outcomes‑first approach to choosing the right hotel in SoMa, Union Square,…
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How to Build an Outcome-Driven Product Operating Model
A practical operating model for giving product teams clear outcomes, decision rights, evidence standards, and review rituals without losing control.
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Turn Customer Insight Into Messaging That Improves Retention
Build a practical loop connecting customer language and product behavior to clearer messaging, faster value, and stronger retention decisions.
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How to Build an Evaluation-Driven AI Innovation Strategy
Build an AI innovation system that links portfolio bets to customer outcomes, release gates, and clear evidence for killing, refining, or scaling them.
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Outcome-Driven Product Discovery: From Ideas to Better Bets
A practical system for connecting customer evidence, experiments, and roadmap decisions to measurable user and business outcomes.
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How to Build AI Upskilling That Changes Product Team Behavior
A practical 90-day system for turning AI training into role-specific behavior, stronger product decisions, and measurable business outcomes.
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How to Connect Product Activation to Growth Economics
A practical model for defining activation, validating customer value, diagnosing funnel leaks, and deciding when acquisition is ready to scale.
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How to Build a High-Velocity Product Experimentation System
A practical operating system for turning small, safe releases into faster product decisions without sacrificing reliability, trust, or strategic focus.
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Global Product Manager Playbook: Build Borderless Products, Align Teams, Win Every Market
Building products without borders isn’t a launch plan—it’s a system. In this playbook, I share how a Global Product Manager aligns product strategy, localization, pricing, and…
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How Product Leaders Break Silos Without More Meetings
A practical operating model for giving product trios shared outcomes, clear decision rights, one evidence base, and a cadence that exposes busywork.
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AI-Enabled Product Management: A Practical Operating Model
A practical operating model for using AI in discovery, planning, and execution while keeping evidence, judgment, and accountability in human hands.
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From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Why We’re Building Our Next AI R&D Hub in Berlin—and Hiring 100 to Power Fin’s Growth
We’re opening our next AI R&D hub in Berlin to accelerate Intercom and our AI Agent, Fin, and we plan to hire 100 people across engineering,…
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Context Is King: My Playbook to Prep Product Teams for High-Impact AI Collaboration
AI becomes a powerful teammate when we give it the right context. In this commentary, I share how I operationalize context—decision logs, success metrics, and machine-readable…
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- AI Strategy (374)
- Generative AI (108)
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- Product Management (369)
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