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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Feature Management as a Product Development Discipline
A practical guide to controlled feature releases, evidence-based rollout decisions, cross-functional ownership, and the governance needed to manage complexity.
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How Cohort Retention Analysis Turns Churn Into Action
Learn how to define useful customer cohorts, interpret retention differences carefully, and convert churn signals into focused product decisions.
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How to Choose a North Star Metric That Guides Product Teams
A practical framework for selecting a North Star Metric that reflects customer value, supports product decisions, and avoids misleading activity measures.
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From Customer Signals to Reliable Product Operations
A practical framework for routing support, behavioral, research, and reliability signals into faster response and stronger product decisions.
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How Snapbar Turned Crisis Into an AI-Native Photo Experience Revolution
Snapbar’s reinvention shows how a mature company can turn crisis into a durable AI product strategy. The company moved from physical photo booths to a WebRTC-based…
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The Hidden Leadership Skills Product Managers Need Before the Title Change
Product managers do not need to wait for a formal title change to start building real leadership capability. The strongest path begins with understanding how leadership…
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Supercharge Product Discovery: A Practical July Guide to Better Team Ideation
Chapter 8: Supercharged Ideation offers a practical way for product teams to move beyond traditional brainstorming and generate stronger solution options. The core lesson is that…
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From Static Scores to Adaptive Customer Health Intelligence
A practical framework for turning customer health from a lagging score into an adaptive system connecting behavior, context, and timely action.
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Durable Product and Platform Leadership Beyond the Launch
A practical framework for turning product momentum into lasting platform value through governance, customer trust, disciplined growth, and AI readiness.
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How to Operate AI Customer Agents as a Reliable CX System
A practical operating model links agent capabilities, release readiness, evaluation, measurement, and ownership into one continuous CX improvement loop.
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AI Product Leadership: Faster Learning, Safer Systems
A practical framework for improving product discovery and delivery while matching AI evaluation, privacy, and governance to real-world risk.
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Connecting Product Analytics, Attribution, and Growth Decisions
A practical framework for linking journey context, governed product data, AI-assisted analysis, and measurable action without overstating attribution.
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Reliable AI Coding Requires Four Kinds of Control
A practical framework for controlling requirements, context, verification, permissions, and recovery when teams build software with AI agents.
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Behavioral Analytics for AI Agent Activation and Retention
A practical framework for measuring an AI agent’s first useful outcome, repeat value, and behavior-triggered interventions without mistaking activity for trust.
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Designing Awe: Intentional, Sensory-Rich Experiences to Elevate Product Leadership
Unforgettable experiences aren’t accidents—they’re designed with intention, sensory detail, and a clear point of view about who you serve. This episode explores how Petra Wille and…
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Migrate Analytics Platforms Without Chaos: 7 Proven Lessons to Plan, Move, and Land Cleanly
Migrating analytics platforms doesn’t have to derail roadmaps or erode trust. I share seven battle-tested lessons—shaped by work with Human37 and Amplitude—that help teams align on…
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How I Make AI Agents Speak Like Our Team: A Conversation Design Playbook That Lifts CSAT
Your AI Agent will sound like an LLM unless you intentionally design how it communicates. I share a practical conversation design playbook covering tone, response structure,…
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A Systematic Product Launch Strategy Beyond Announcement Day
A practical framework for aligning positioning, launch readiness, partner execution, and product analytics around sustained customer adoption.
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AI Inference Economics: Optimize for Value, Not Cost
A practical framework for balancing AI inference cost, latency, and quality against conversion, retention, support demand, and revenue.
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How I Use Novus, the First Product Agent, to Turn Rapid Releases into Measurable Wins
Rapid releases don’t have to blur what’s working. I use Novus to connect code velocity to customer outcomes with eval-driven development, observability, and continuous discovery—without drowning…
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Browse topics
- AI Strategy (274)
- Generative AI (105)
- IT Leadership (32)
- Leadership (78)
- Product Management (324)
- Product Management Leadership (286)
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