🎾 PM Tools, Doshi's Secrets, Drucker's Wisdom & PM Job Matching

+ new AI corner

Estimated read time: 2 minute 16 seconds.

This is Sunday 1-1-2-3 with George.

Welcome to the 75th edition.

Today we have:

• Map Of PM Tools (+ discussion)

• Shreyas Doshi's Time Management Seminar for Product People

• 5 Practices to Instantly Improve Your Leadership Skills From Peter F. Drucker's "The Effective Executive"

• Weak Product Sense, Past Success, Strong Exec Presence, and Poor Taste Make a Risky Leader for New/PMF Products (and What to Do About It)

• A Good Model for Thinking About Where You Might Want to Work as a PM (and Where Your Skills Might Fit)

+ new AI corner.

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📚 Map Of PM Tools

Let’s talk about product management tools.

I shared this map in January.

Since then, so many AI tools have popped up like PM influencers on Twitter last few years (hey, I’m one of them).

I’d love to hear about what you find useful these days, and what you wish existed in this space:

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👀 Shreyas Doshi's Time Management Seminar for Product People

Here is an unlisted video of the seminar on time management for product people that Shreyas ran a month ago.

Some takeaways if you don’t want to watch:

• A deep dive into his LNO System which categorizes tasks into 3 types: L tasks (high leverage), N tasks (neutral) and O tasks (low leverage), and emphasizes delivering different quality levels for each task type.

• The Radical Delegation Framework helps product leaders identify tasks they should delegate to others, retaining only the high-impact tasks for themselves.

• Time optionality is a key aspect of success for Shreyas, who prioritizes different aspects of life (family, health, interests, career, friends, and community) and aims to spend time accordingly.

• Time management changes as one progresses in their career, with increased focus on strategy, alignment, and coaching, while still maintaining a balance between managing up, down, and sideways.

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🍪 Quick Bites

• 5 Practices to Instantly Improve Your Leadership Skills From Peter F. Drucker's "The Effective Executive"

• Weak Product Sense, Past Success, Strong Exec Presence, and Poor Taste Make a Risky Leader for New/PMF Products (and What to Do About It)

• A Good Model for Thinking About Where You Might Want to Work as a PM (and Where Your Skills Might Fit)

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🤖 AI Corner

Today’s editorial: 1 prompt, 1 paper, 2 opinions, 3 tools

Prompt

Persona: Imagine you are an experienced Product Manager familiar with Gibson Biddle's DHM model and skilled in crafting product strategies across various industries.

Action: Develop a product strategy for a [product type] using the DHM model, focusing on delighting customers, hard-to-copy advantages, and margin-enhancing features.

Context:
Product Type: [Provide a description of the product, including its main features, functionality, target audience, and value proposition.]
Industry: [Identify the industry or market segment in which the product operates, as well as any key trends or challenges.]
Competitors: [List any major competitors or alternative solutions in the market.]

Format: Present the product strategy as a series of bullet points or short paragraphs that address each element of the DHM model:
Delight: Describe how the product will delight customers and add real value.
Hard-to-copy: Identify the unique advantages the product has that will be difficult for competitors to replicate.
Margin-enhancing: Explain how the product will generate a profit and sustain the business.

Example:
Product Type: Web analytics tool similar to Google Analytics
Industry: Digital analytics and marketing
Competitors: Google Analytics, Adobe Analytics, Mixpanel

(h/t Carl Velotti)

Paper

Power-seeking can be probable and predictive for trained agents

Advanced AI can sometimes seek power, which can be risky. We're still learning about this behavior. Research shows that even with training, AI might still want power. The paper studies goals that AI learns during training and finds that AI will likely try to avoid being shut down, making power-seeking a concern.

Opinions

1. You can get much better results out of ChatGPT by forcing it to go through a step-by-step process

2. 3 ideas driving the LLM revolution

3. OpenAI released a Jupyter Notebook which demos a Q&A workflow using ChatGPT API as a base

Tools

1. WhatTheDiff: Helps you and your team write better pull request descriptions & keep your non-technical team members in the loop.

2. AI Dungeon: Play and create AI-generated adventures with infinite possibilities.

3. Stenography: Automatic code documentation.

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That's a wrap for today. Stay focused and see you next week! If you want more, be sure to follow me on Twitter (@nurijanian)

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Who's George?

It’s me

I’m an underdog product manager.

Product management in New Zealand (where I live) is still a relatively immature discipline. I also came into it late via data science and UX. I may be older than others, but I often feel like a rookie.

To become better at my craft, I learn and explore new ideas relentlessly.

Then I share high-quality, tried-and-true ideas that can be used right away.

How I can help you:

• If you want to feel smarter, I’ve compiled my best actionable finds in prodmgmt.world.

• If you need to figure out prioritization in your role, get The Big Book of Prioritization.

See you next week.

— George.