How is this different from traditional product analytics training?

Traditional product analytics teaches you to use tools (Amplitude, Mixpanel) to track events and build dashboards. This AI-focused training teaches you to use AI to predict user behavior, automate insight discovery, and build intelligent product features. You'll learn behavioral segmentation (AI clustering), impact forecasting (AI prediction), and feedback synthesis (AI NLP) — capabilities beyond traditional event tracking.

What product analytics infrastructure do we need before this training?

Minimum: (1) Some form of event tracking (even basic GA4 or Mixpanel free tier), (2) User feedback channels (support tickets, NPS surveys, or reviews). Ideal: Product analytics platform (Amplitude, Heap, Mixpanel) with historical data. During Discovery, we'll assess your current setup and recommend quick-win improvements to maximize training value. Even basic event data enables powerful AI insights.

Can we learn to build AI product features even if we're not an AI company?

Yes! Module 4 is designed for non-AI-native products adding intelligent capabilities. You don't need a team of ML engineers. We'll show you how to: (1) Use pre-built AI APIs (OpenAI, Google AI) to add smart features quickly, (2) Build simple recommendation engines using collaborative filtering, (3) Partner with AI vendors for specialized capabilities. Goal: embed AI in your product to improve UX, not become an AI research company.

How do we avoid building AI features users don't want?

Critical concern addressed throughout the training. We teach AI feature validation: (1) Use AI analytics to identify high-frequency pain points first, (2) Prototype AI features using Wizard of Oz testing (manual behind the scenes), (3) Launch AI features to small user segments with opt-in/opt-out, (4) Measure adoption and satisfaction before full rollout. AI should solve real user problems, not be AI for AI's sake.

Is this training relevant for B2B SaaS or only consumer products?

Highly relevant for both. B2B SaaS examples in the training: AI usage insights identifying expansion opportunities, AI onboarding optimization reducing time-to-value, AI feature adoption tracking for CSM prioritization, AI feedback analysis from customer calls and support tickets. Consumer product examples: AI personalization, recommendation engines, smart notifications. We customize content to your business model during Content Customisation.

AI Product Management Training for SaaS Teams

Product teams spend too much time guessing what users want and not enough time building what they need. This training teaches product managers and designers to use AI for deeper user research, smarter feature prioritization, and data-driven roadmap decisions. Ship features that improve retention, respond to market signals faster, and build products your customers actually want to keep using.

Duration3-4 days

Best forProduct managers, product designers, growth PMs, and innovation leads building SaaS products, platforms, and AI-enabled features for technology companies

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Sound familiar?

“Product decisions are based on gut feel and HiPPO opinions instead of data-driven user insights.”

“We have 200+ feature requests in our backlog but no objective way to prioritize what to build next.”

“User research is slow and expensive — we need AI to analyze feedback from support tickets, NPS surveys, and product reviews at scale.”

“We don't know which features drive retention and which are ignored — usage data is buried in analytics tools.”

“Our competitors are shipping AI features and we're falling behind, but we don't know where to start.”

What you'll achieve

Problems you'll solve

Product decisions driven by opinions instead of AI-powered user behavior analytics and feature intelligence
Feature prioritization lacking objective scoring based on impact, effort, and strategic alignment
User research constrained by manual interview and survey analysis instead of AI-powered feedback synthesis
Feature usage insights fragmented across analytics tools without unified product intelligence dashboards
Product innovation lagging competitors due to lack of AI-powered product capabilities

Value you'll gain

Product-Market Fit: Improve retention by 20-35% through AI-driven feature prioritization and user insights
Research Velocity: Analyze 10x more user feedback using AI sentiment analysis and theme extraction
Conversion Optimization: Increase trial-to-paid conversion by 15-30% using AI funnel analysis and intervention triggers
Feature ROI: Identify high-value features driving retention using AI usage correlation analysis
Competitive Advantage: Ship AI-powered product features differentiating your offering in the market

OUR PROCESS

How we deliver results

Product Analytics Assessment

Audit current product analytics setup, user feedback channels, and product roadmap process to identify AI enhancement opportunities.

Tool Configuration

Set up AI product analytics platforms (Amplitude, Mixpanel, Heap) with AI features enabled, or build custom AI models using your product data.

Hands-On Delivery

Multi-day programme building AI-powered user segmentation, feature prioritization frameworks, feedback analysis systems, and AI product feature prototypes.

AI Product Strategy Development

Teams develop data-driven product roadmaps using AI insights and design AI-powered features to embed in your product offering.

Implementation & Iteration

30-day coaching to deploy AI product analytics, launch roadmap experiments, and measure impact on retention, conversion, and engagement KPIs.

What you'll learn

Sample Agenda

Use AI to segment users, analyze behavior patterns, and identify power users, at-risk users, and expansion opportunities.

What you'll be able to do

Build AI-powered user segmentation clustering users by behavior patterns (not just demographics)
Analyze user journeys to identify critical activation moments and conversion drop-off points
Create cohort retention analysis tracking user engagement trends over time
Implement AI propensity scoring predicting which users will upgrade, churn, or refer others
Design product analytics dashboards showing real-time user segment health and trends

DELIVERABLES

What you'llreceive

Every engagement includes a comprehensive deliverable package tailored to your organization.

These materials are designed to outlast the workshop itself, giving your leadership team practical tools they can reference and apply long after our engagement ends.

Your team walks away ready to act, not just informed.

1Product AI Readiness Assessment with analytics gap analysis

2AI-driven product roadmap with data-backed feature prioritization

3AI user analytics dashboards and behavioral segmentation models

4Prototypes of AI-powered product features ready for development

5Individual learning certificates and competency assessments

630-day post-programme coaching and experiment support

Our team has trained executives at globally-recognized brands

YOUR PATH FORWARD

From Readiness to Results

Every AI transformation is different, but the journey follows a proven sequence. Start where you are. Scale when you're ready.

ASSESS · 2-3 days

AI Readiness Audit

Understand exactly where you stand and where the biggest opportunities are. We map your AI maturity across strategy, data, technology, and culture, then hand you a prioritized action plan.

Get your AI Maturity Scorecard

Choose your path

TRAIN · 1 day minimum

Training Cohort

Upskill your leadership and teams so AI adoption sticks. Hands-on programs tailored to your industry, with measurable proficiency gains.

Explore training programs

DEPLOY · 3-4 days

AI Product Development & Innovation

Ship better products faster with AI-powered analytics.

Get a custom proposal

SCALE · 1-6 months

Implementation Engagement

Roll out what works across the organization with governance, change management, and measurable ROI. We embed with your team so capability transfers, not just deliverables.

Design your rollout

ITERATE & ACCELERATE · Ongoing

Reassess & Redeploy

AI moves fast. Regular reassessment ensures you stay ahead, not behind. We help you iterate, optimize, and capture new opportunities as the technology landscape shifts.

Plan your next phase

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