Google

Twitch

Amazon

JSTOR

TD Bank

Diba Kaya

How to Make Go/No-Go Decisions in AI Product Development

Staff UXR, Insights & Behavioural Science

Learn why AI changes cognition and decision-making and why validating task success alone leads teams astray.

Why AI Breaks Traditional Product Validation

Use a decision framework to choose between decision support, human-in-the-loop, or full automation.

Decide How AI should Show Up In the Workflow

Anticipate downstream impacts on adoption, differentiation, and product longevity not just short-term metrics.

Identify Second-Order Risks Before AI Features Ship

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

Master the most powerful decision making protocols through proven tools, practical frameworks, and real-world applications

AI Decision Coach & Product Leader

Vivek Juneja

20 years of leading teams, building products & managing large projects at scale

Feb 2026

June cohort

AI tools can now draft your emails, summarize your data, and generate recommendations in seconds. But the decisions that shape your career, your team, and your organization still depend on how you frame the problem. Most leaders use AI to move faster. The best leaders use it to think more clearly. In this course, you will learn a practical method for framing high-stakes decisions and practice using AI as a thinking partner, not a decision-maker. You will work with the Winning Frame methodology, use AI in three specific roles (Mirror, Challenger, and Reframing Generator), and walk away with a repeatable process you can apply to real decisions at work and in life.

Make better decisions with AI, not despite it

Learn the Winning Frame method for reframing decisions before AI runs with them

Leaders and managers adopting AI tools who want to make better decisions, not just faster ones

Senior ICs and founders facing ambiguous, high-stakes choices where AI outputs are helpful but not sufficient

Anyone who has caught themselves accepting an AI recommendation without questioning the frame it was built on

Make high-stakes product decisions with clearer logic, stronger conviction, and language that leadership can trust.

Product & Design Leader at Owtcome

Owtcome

Krasi Bozhinkova

Cohort - May 2026

Cohort - July 2026

The gap between mid-level and senior is not knowledge. It is judgment. The ability to make the call earlier, with less certainty, and explain why it matters in terms the business cares about.You may already have strong instincts, but instincts alone don’t earn trust. What gets your work second-guessed is not always that someone else is right. It is that they can connect the decision to adoption, retention, revenue, or strategic advantage more clearly than you can.This course is about closing that judgment gap. You will learn how to identify the real decision inside a messy debate, name the trade-off others avoid, and defend your logic before perfect data arrives. It blends product, design, and business thinking because role boundaries are disappearing and the expectation to make an impact has never been higher.The goal is to become the person leadership brings in earlier, trusts with harder problems, and gives a bigger scope.

Make high-stakes product calls with clarity to earn a bigger scope and influence

Frame the real decision behind a messy debate

Build for critical user needs without waiting for perfect data

Know when to improve, pivot, or rethink your roadmap

Connect every product and design decision to a growth loop

Design for AI-products beyond the interface

PMs, designers, and cross-functional leaders with 3-5 years of experience, working through ambiguity, trade-offs, and business outcomes.

Level of experience

Bring one live product, feature, or strategic decision to apply the course directly to your own context.


What to prepare

This course is designed for practitioners who want to make better product decisions in AI-shaped markets, not to teach a specific AI tool.

No technical AI background required

Mid to Senior level PMs stuck in execution mode who want to become the senior person leadership trusts to make the harder decisions

Designers who are strategic but can't articulate it and lose the argument when they don’t connect the decision to business impact.

Developers stepping up to own a product area, who need a repeatable way to make hard decisions with incomplete information.

Make ambiguous decisions quickly, reduce risk, and sell the direction you choose

Former Amazon VP; 70+ patents; led 800+

OpenAI

Netflix

Anthropic

NVIDIA

Stripe

Ethan Evans

Former Amazon VP (15+ years); 70+ patents; led global teams of 800+

Cohort 1

Most professionals don’t struggle because they “can’t decide.” They struggle because decisions are messy: incomplete data, loud stakeholders, moving targets, and the fear of being wrong. The result is hesitation, endless analysis, or rushed calls that create churn and erode trust.This workshop gives you a practical system to make high-quality decisions fast, without gambling.You’ll learn a repeatable decision loop you can use immediately: Decide → Ship → Watch → Adjust. You’ll learn how to decide at ~70% certainty — moving with speed while staying grounded in signals, risk framing, and reversibility. You’ll leave with a monitoring plan for your next real decision so you know exactly what to watch, when to revisit, and what “success” looks like.And when things go sideways (because they will), you’ll have a crisis recipe that builds trust: clear ownership, clean communication, and fast learning instead of blame.Finally, you’ll get specific ways to use AI as a decision accelerator — to sharpen options, pressure-test assumptions, and surface risks — without outsourcing your judgment.

Become a trusted decision-maker: decide at 70%, ship, monitor, adjust — effectively handle crises and use AI to strengthen your judgment.

A repeatable decision loop

How to decide at ~70% certainty (without gambling)

A clear monitoring plan for your next decision

A “crisis recipe” that builds trust

Specific ways to use AI without outsourcing judgment

High-velocity ICs: Owns ambiguous work. needs a fast, safe decision loop to ship, monitor, and adjust without overthinking

People leaders: Makes calls with imperfect info, wants a repeatable system to decide, align stakeholders, and handle crises with trust

Cross-functional leads: PM/ops/eng/sales/etc, needs better decisions across teams, clear monitoring, and AI leverage without losing judgment

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

How to Make Go/No-Go Decisions in AI Product Development

What you'll learn

Why this topic matters

You'll learn from

Diba Kaya