Shivam.Consulting Blog
AI products, enablement & hiring
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A Practical Customer Insight System for Product-Led Growth
Build a reliable path from interviews, behavioral data, and commercial signals to scalable product-led growth decisions.
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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Inside the Most Politically Dangerous C‑Suite Role: Hard Truths on Culture, Layoffs, and Leadership
Culture isn’t a perk—it’s a product. In this first-person reflection on the most politically charged seat in the C‑suite, I share why HR must think like…
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Commercial vs. Internal Products: Hard Truths, High Leverage, and How I Make the Call
Internal products quietly drive customer experience, margin, and speed—yet they’re often underfunded. Commercial products expand scope with positioning, pricing, and GTM complexity, making them harder to…
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Stop Forcing AI to Prove ROI: A Product Leader’s Playbook to Measure Real Business Value
AI ROI isn’t elusive—it’s mismeasured. I outline a practical playbook that ties leading indicators to revenue, cost, and risk through a clear driver tree and disciplined…
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How Top Product Teams Roadmap Through Uncertainty: Align Faster, Adapt Smarter, Deliver
Uncertainty isn’t the enemy of great product roadmaps—wishful certainty is. I anchor plans on outcomes, organize bets by time horizon and confidence, and use continuous discovery…
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Beat AI FOMO: A Product Leader’s Playbook to Choose Tools, Stay Focused, and Learn Deeply
New AI tools launch daily, and the pressure to try them all can derail real progress. In this reflection on a timely conversation with Petra Wille…
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Stop Misleading A/B Tests: Master Sample Size Assumptions for Reliable Results
Sample size calculators are only as reliable as the assumptions behind them. I show how I validate baseline rates, set a meaningful minimum detectable effect (MDE),…
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Join Me in April: Build a Continuous Interviewing Habit and Unlock Real Customer Insights
This April, I’m leading a community read of Chapter 5: Continuous Interviewing from “Continuous Discovery Habits,” with a practical guide, discussion prompts, and exercises you can…
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Never Stop Disrupting: Why the Fin API Platform Signals a New Era for Agentic AI
Disruption favors teams that move from features to agents—and the Fin API platform accelerates that shift. With a customer agent platform resolving over 2M issues weekly…
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Inside Amplitude’s ML Playbook: Practical Strategies for Smarter A/B Tests and Growth
Discover how I translate machine learning into practical product analytics wins. I share how MDE-driven planning and disciplined A/B testing unlock faster, defensible decisions. You’ll see…
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Inside Banani: How a Canvas-First AI Designer Elevates UX and Accelerates Product Teams
Banani’s canvas-first AI designer reframes how teams access high-quality UX by generating design—not just code. I break down how the team handles parallel edits, per-screen context…
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5 powerful ways I use Pendo MCP to bring product analytics into ChatGPT, Claude, and Cursor
Pendo MCP brings product analytics directly into Claude, ChatGPT, and Cursor, so insights follow me wherever I work. I can triage anomalies, prep discovery with behavioral…
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Unlock Confident Decisions with Bayesian Statistics: Smarter A/B Tests from Small Samples
When experiments stall due to low traffic, I turn to Bayesian statistics to convert sparse data into decision-ready insights. Instead of opaque p-values, I communicate intuitive…
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Product Management Isn’t Dead: Why ‘Product Builders’ Will Win in the AI Era—and How to Upskill Now
“Is product management dead?” Not even close. The role is evolving as AI raises the baseline, compresses cycle time, and nudges the classic product trio toward…
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How to Build Cost-Effective PR Review Agents In-House
A practical blueprint for building an in-house PR review agent that controls model spend, limits false positives, and improves review flow.
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Product Experimentation for AI Systems: A Practical Playbook
A practical playbook for testing prompts, retrieval, and policy changes with decision-ready metrics, safe rollouts, and reliable instrumentation.
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Apex Arrives: Vertical AI That Beats GPT-5.4 on Customer Service Speed, Accuracy, and Cost
Apex is a new vertical model for Fin that outperforms GPT-5.4 and Opus 4.5 on speed, accuracy, and cost—now powering ~100% of English chat and email…
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From Engineer to CEO: Hard-Won Lessons on GTM, Cloud-First Bets, and Must-Do Focus
Becoming a CEO from an engineering or product track requires an almost entirely new skillset—and a new operating system. In this reflection, I break down the…
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- AI Strategy (274)
- Generative AI (105)
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