AI & Product Management: How to be a 10x PM

Artem Kosarev x Rebels.ai Alchemy

Talk Video

About me

Artem Kosarev

12+ years in Product Management:

• CEO & co-founder @ Kamina
• Product Director @ Palta / Simple
• Chief Product Officer @ Atlas Biomed
• Product advisor and mentor

What is Product Management

What is Product Management

Product management is guiding a product from conception to market delivery, aligning customer needs with business goals.

OR

It’s about making customers happy in margin-effective and hard-to-copy ways.

​

Key areas:

1. Discovery
2. Delivery
3. Communications

​

And:

• Growth
• Leadership
• B2C/B2B specifics

What is Product Management

• Discovery
• Market and competitive Analysis
• User Research
• Feedback loops
• Data Analysis
• Brainstorming
• Vision

​

​

2. Delivery

• Prototyping
• Goal settings and roadmapping
• Specifications and PRD
• UX/UI Design
• Go-to-market strategy

3. Communications

• Meetings management
• Stakeholder management
• Cross-functional collaboration
• Crisis communication
• Presentation skills

Discovery — Market and Competitive Analysis

Product’s goal: Understand the market landscape and competition.

How to leverage:

• Use smart search engine for initial research on market, segments and competitors
• Ask to use assumptions, calculations and hypothesis

Tools: Perplexity.AI

Optimization: 8/10

Discovery — User Research

Product’s responsibility: Gather and analyze user needs and behaviors and build empathy.

How to leverage:

• Use Copilot for communications with respondents:
• Preparation for interview: scenarios, questions for [my product]
• “Recommend related segments and where to find them”
• Interview analysis: transcription, patterns, similarities, key highlights, insights -> auto reports
• Use Personas simulation: teach model on user data and ask questions

- Keep all data and insights in smart storage

- Also: communicate (in text way) on the languages you do not know

Tools: ChatGPT, buildbetter.ai, Notably.ai, condens.io

Optimization: 7/10

Discovery — Feedback loops

Product’s responsibility: Establish mechanisms for collecting and acting on feedback.

How to leverage:

• Analyse feedback automatically (interviews, reviews, tickets) and analyse
• Generate survey’s questions
• Identify topics and sentiments in reviews (negative, neutral, or positive)
• Identify the most important categories of topics for the product.
• Convert them into tickets, stories or requests
• Prioritisation of it

Tools: Monterey.AI, dovetail.com, kraftful.com, askviable.com

Optimization: 8/10

Discovery — Performance metrics

Product’s responsibility: Track and analyze product performance using key metrics, find low-hanging fruits and points for CRO.

How to leverage:

• Collect data — by yourself w/ team
• Describe data structure — by yourself or with GPT
• Replace junior and mid data scientists with GPT in:
• Clear data set
• Writing SQL query
• Or Python code and play in Jupiter
• Create and modify query templates
• Run CSV analysis
• Interpret data (better — by yourself)

Tools: ChatGPT, Copilot, Deepnote.com

Optimization: 7/10

Discovery — Brainstorming

Product’s responsibility: Ideate new features and hypotheses for product enhancements.

How to leverage:

• Build Custom GPT for your product
• Make drafts and preparations for team meetings on data: upload all related data into LLM and ask to give ideas and recommendations
• Add CJM, personas insights, conversion rates
• Use LLM’s recommendations for baseline ideas to discuss with the team

Tools: ChatGPT, Custom GPT

Optimization: 4/10

Discovery — Vision

Product’s responsibility: Define the long-term vision and strategic direction for the product.

How to leverage:

• Create custom GPT related to the project
• Brainstorm and challenge your ideas with LLM
• Hypothesis on new segments and directions
• Rewrite and optimize final edition for different cases: deck, specs, presentations

Tools: ChatGPT + Custom GPT

Optimization: 6/10

Discovery/Delivery — Prototyping

Product’s responsibility: Run experiments to decrease risks (Desirability, Feasibility, Usability, Viability).

How to leverage:

• Upload library of experiments types (books: Pretotyping, The Right It, Testing Business Hypothesis) into LLM
• Explain your business task, timeframe and resources allocation
• Formulate hypothesis — by yourself or with GPT
• Choose and refine your options
• Ask to prepare preliminary experiment design

Tools: ChatGPT, ProtoPilot ->

Optimization: 6/10

Delivery — Prioritisation and roadmapping

Product’s responsibility: Set objectives and develop a timeline.

How to leverage:

• Prioritisation of tickets and requests based on feedback analysis
• Make initial draft of roadmaps: Use AI tools to create a draft from vision, user insights and business goals
• Refine and re-prioritise it — by yourself
• Run estimation and final prioritization with your team and stakeholders

Tools: ChatGPT, CustomGPT, Monterey.AI

Optimization: 5/10

Delivery — Specifications and PRD

Product’s responsibility: Document detailed product requirements and design.

How to leverage:

• Write PRD’s and specs: use AI to quickly generate PRDs and specs from notes, design mockups, and code.
• Create a CustomGPT for developers to ask questions about the product or specs.
• Translate docs into other languages
• Use AI to find gaps and errors in current tickets and specs.

Tools: ChatGPT, CustomGPT, writemyprd.com

Optimisation: 7/10

Delivery — UX/UI Design

Product’s responsibility: Design user interfaces that are intuitive and meet user needs.

How to leverage:

• Generate ideas on UX solution (*2 effective if LLM knows about your personas)
• Write draft content for mockups
• Write UX and product copy

Tools: ChatGPT, Uizard.ui (meh)

Optimization: 6/10

Delivery — Go-to-market things

Product’s responsibility: Plan and execute the launch of the product into the market.

How to leverage:

• Write release notes, instructions, guidelines based on product documentation
• Prepare content for support/sales/bizdev teams with 0 effort
• Translate this content into other languages

Tools: ChatGPT, CustomGPT

Optimisation: 7/10

Communications — Meetings

Product’s responsibility: Organize and conduct effective recurring meetings within product squad and with crossfunctional teams

How to leverage:

• Agenda preparation — discuss best questions with LLM
• Automate Meeting notes and follow-ups
• Analyse transcripts: “Summarize this transcript with key points to help me improve my product. What specific product-related suggestions are mentioned? What hypotheses should I test? What action points should I take? What decisions could be made based on the data? What might I be missing?”

Tools: otter.ai, rewatch.com, zoom ai companion

Optimization: 4/10

Communications — Stakeholder management

Product’s responsibility: Maintain strong relationships with all stakeholders, get buy-ins from SH and team members.

How to leverage:

• Ask for help with argumentation
• Correct tone of voice and emotions in text communications
• Write reports, improve presentations with the speed of light

Tools: omnimodal AI models

Optimization: 4/10

Bonus level — Basic legal research and drafting*

Product’s responsibility: Onboard legal team into context and get docs, reviews done

How to leverage:

• Make basic regulatory and legal research with just prompts
• Ask LLM to analyse Terms, Privacy of competitors — and then compare them and find gaps and strategic options
• Ask LLM to prepare drafts of Terms, Privacy, etc
• Review it with real legal team
• Profit!

​

​

*information provided on this slide does not, and is not intended to, constitute legal advice

Bonus level — Product Coach and Advisor

Product’s responsibility: Always know to do next — as product and team leader

How to leverage:

• Ask GPT to act like PdM expert, describe current situation and ask what to do next
• Build Custom GPT’s for projects, business models, domains
• Test GPT’s for new cases in your work, don't resist the future

​

​

Bonus level — What not to do with AI*

• First steps in product discovery/delivery/communication
• Direct communication with customers / empathy building
• Delegating of gut feeling and product sense
• Expect “eureka moment”
• Strategy creation
• Feature implementation estimation

​

​

*everything changes so fast

Bonus level — What to read and learn

1. Lenny’s Newsletter — How AI will impact product management
2. Lenny’s Newsletter — How to use ChatGPT in your PM work
3. GoPractice — Generative AI for Product Managers, Mini Simulator
4. Every Podcast — How do you use ChatGPT?
5. Andrey Karpathy — Busy’s person intro in LLM
6. DeeplearningAI — Generative AI for everyone
7. Chief AI Officer newsletter

​

Thank you! Let’s stay connected

Email — kosarevartem@gmail.com

Telegram — @artksrv

LinkedIn — Artem Kosarev ->

�https://www.linkedin.com/company/rebels-ai/�

https://twitter.com/rebels_ai

https://www.meetup.com/rebels_ai/

https://t.me/rebels_ai

​