Product Team Program
AI-Ready
Product Team Program
Business, product, and engineering teams speak different languages. CaDPM™ gives them a shared language — and the DPS system puts that language to work from day one. In modern product management, the first success starts with precise, concise, and structured communication.
What Is the Problem?
AI Agents are ready. Is your team?
Digital product discovery, development and sales with AI Agents (ChatGPT, Claude, Gemini) is now faster, more accurate, and more affordable. Sometimes 20x, sometimes 50x, sometimes even 100x more efficient.
AI Agents always need a clear picture of the big picture to deliver good results. But the product team that communicates with them — primarily Product Managers and Product Engineers — cannot communicate correctly with AI Agents. As a result, they fail to harness this incredible power.
Team performance
Canvas Skills
20 skillTeam is ready
PM · Engineer · Business · AI Agent — one system
There are 3 reasons why Product Teams cannot communicate correctly with AI Agents
They cannot see the big picture
Product Teams cannot see the big map of discovery–development–monetization.
They cannot express their ideas
Even if they are highly skilled experts, they do not have the knowledge and ability to express their thoughts in 1–2 precise sentences.
Communication problems within the team
Inability to establish proper communication within the team — every role speaks a different language.
When the product team cannot see the big picture, communicate effectively with each other, and express their thoughts concisely — working with AI Agents becomes ineffective. It can even become risky.
To solve 3 problems, you need to address 2 core criteria simultaneously
Methodology
A canvas-based methodology that reflects the big picture, ensures the team speaks the same language, and enables precise communication with AI Agents.
System
A working system that applies this methodology to a real work environment, measures daily performance, and brings the team to an AI-Ready state.
Current situation
Fragmented methods, tools, and team thinking
Jira, Trello
Provides only a task management system — does not teach the team how to think.
PMI, Scrum, Kanban
Offer methodology and approach, but there is no system to apply them in a real work environment.
Hundreds of courses
Each course teaches a separate theory — there is no integrated solution connecting them all.
Communication gap within the team
Business, product, and technical teams speak different languages. AI Agents cannot convert this ambiguity into a product.
The Only Solution
We offer the only solution to these problems.
01 · Methodology
CaDPM™
Canvas-Driven Product Management — a shared language for PMs, engineers, and business.
Why CaDPM™?02 · System
DPS Open Source System
The system that applies the methodology in a real work environment. Fully integrated with AI Agents.
Explore DPS03 · Trainings
AI-Ready Practical Trainings
An online training program that brings the team to ready-to-start state in 8–10 weeks.
Program Contents
What does the program consist of?
AI-Ready PM and Engineer preparation
The program brings AI-Ready Product Managers and Engineers to ready-to-start level so they can join the team, communicate concisely and completely, and create and deploy the product with AI Agents.
AI-Ready-to-Start
Readiness level
5 core skills, 20 sub-skills
The Product Team learns 5 core skills and 20 sub-skills. Having these 20 skills means being able to communicate fully through canvases.
Individual growth path
The product team is assessed, 20 sub-skills are measured, and an individual growth path is prepared accordingly.
Re-assessment
Measuring knowledge again
Completion
Reaching the target level
Final report
Presentation of final results
Individual Development Path
Assessment & Growth Path
A personalized growth path prepared based on individual assessment for each participant — every step is measured, tracked, and delivers results.
LXP Platform
Each participant undergoes an individual assessment across 20 skills
Each participant's current level is measured separately across 20 practical skills. Assessment results are shown as percentages and strengths and weaknesses are clearly identified for each skill.
Measure your team's progress for the first time, truly.
Assessment · Individual Growth Path · Daily tracking · Lesson-based performance — all on one platform, in real time.
Explore the Platform
Learning Experience Platform
An AI-powered learning platform — every lesson, task, and skill is tracked in real time. Learners see their daily lesson plan while the company monitors the entire team's progress on one screen.
Individual learning path
Each participant receives their own Growth Path based on their assessment results.
Application-based lessons
Every lesson consists of a video + canvas task — watching alone is not enough.
Real-time tracking
Daily, monthly, and skill-based performance is visible to the company.
Company dashboard
The entire team's progress on one screen — participants falling behind are visible immediately.
Learning Platform — Questions
Questions that arise during lessons are asked and answered directly through the platform.
What the Program Teaches
5 Core Directions, 20 Canvas Skills
Canvas-Driven Communication means the ability to pour knowledge and skills into a document (canvas) in a concise, laconic, structured form and communicate with AI Agents, programmers, and clients in just a few sentences. If you cannot communicate through canvases — even if you are the world's number 1 PM — you no longer add value to companies and teams.
Detailed breakdown
Business Requirement Development Skill
Each skill is divided into sub-skills, totaling 20 sub-skills, and we teach the knowledge and ability to communicate in 20 canvas formats.
Canvas skills
20 Practical Skills
Every skill is a canvas
20 practical skills across 5 key directions — each learned and applied as a real work task.
User Story Canvas Development
Helps define what the user needs, why they need it, and how the requirement should be expressed clearly.
Business Canvas Development
Helps structure the business problem, customer need, value proposition, and expected business outcome.
Monetization Requirement Canvas Development
Helps define early monetization expectations, revenue logic, and business value behind the product idea.
Data Flow Canvas Development
Helps visualize how data moves between users, pages, systems, APIs, and databases.
UI Canvas Development
Helps design and describe product pages, UI components, user actions, and screen-level requirements.
API Canvas Development
Helps define API endpoints, request/response structures, and backend communication needs.
Database Canvas Development
Helps structure database tables, collections, fields, and relationships needed for the product.
Data Object Canvas Development
Helps define reusable data objects, JSON structures, and object-level information models.
Backlog Canvas Development
Helps convert requirements into structured backlog items, tasks, priorities, and delivery units.
User Acceptance Criteria Canvas Development
Helps define clear acceptance conditions for confirming whether a feature is correctly completed.
Code Completion Canvas Development
Helps track how much of the expected code or implementation work has been completed.
Code Line Management Canvas Development
Helps monitor code volume, code structure, and development progress across the project.
Requirement-Code Alignment Canvas Development
Helps check whether the written code matches the approved business, UI, API, and backlog requirements.
Project Completion Forecast Canvas Development
Helps estimate remaining work, delivery duration, and expected project completion progress.
Canvas-Driven Architecture Canvas Development
Helps connect product canvases with code architecture, folder structure, modules, and technical implementation.
Project Execution Canvas Development
Helps manage execution flow, task progress, delivery status, blockers, and team coordination.
Product Packaging Canvas Development
Helps package the product into clear offers, plans, bundles, or service models for customers.
Lead Generation Canvas Development
Helps define target leads, lead sources, entry points, and lead acquisition activities.
Sales Funnel Canvas Development
Helps structure the customer journey from first contact to conversion and payment.
Revenue & Scalability Monitoring Canvas Development
Helps monitor revenue growth, scalability potential, customer expansion, and business performance.
What Is Gained
What do you gain?
What participants will gain
Ability to communicate concisely and precisely with business
Full understanding of business needs
Ability to explain needs in technical language in very simple form
Making demands and offers to increase sales
Practical lessons
Latest trend theories
Learning alongside AI
Learning and applying in your native language
Talking with AI assistant in your native language
Rich exams and level assessment tests
Community — a place where all questions get answered
What companies will gain
Ability to track employee performance daily, even hourly
Seeing the result of the investment immediately after 2 months of training
Measurable performance
DPS System (saving from systems that require annual minimum $10k–$50k expenses)
For Companies
AI-Ready
Product Manager
A program that prepares product managers for the AI era using the Canvas-Driven methodology. Each participant learns through real work tasks and builds workflows with AI tools.
Manage AI agents as a Canvas-Driven Product Manager
Create Business, UI, API, Backlog canvases with AI assistance
Precisely structure and communicate product requirements to the team
Individual growth path on an AI-based LXP platform
Final assessment and certificate
For Companies
AI-Ready
Product Engineer
A program that prepares engineers to write code based on canvas requirements, manage AI agents, and collaborate effectively with the product team.
Write code via AI agent based on canvas requirements
Read and apply UI Canvas, API Canvas, Database Canvas
Deliver according to Backlog and Acceptance Criteria canvases
Manage code completion and requirement alignment canvases
Individual growth path on an AI-based LXP platform
Assessment Methodology
The Ready-to-Start Goal
Our main goal is not employees with theoretical and practical knowledge and skills for companies — it is to bring them to ready-to-start state. Those who pass 90% are already sufficient to take this program. Companies are looking for employees who have high skills to work with AI assistants and are ready to work. We are ready to execute this.
What working with us gives you:
0 risk
100% big picture visibility — what is taught, how much has been learned, and what has been done
If they do not learn within 10 weeks — we will explain why they did not learn
Assessment preview
How It Works
Format, duration and pricing
Online format, multilingual
Online program prepared in multiple languages (AZE, RUS, DE, Arabic, Persian, Spanish, English). Not just reading materials — video subtitles and narrations are also in those languages.
2 hours per day
Learners can study by spending 10 hours per week. This does not interfere with daily work. If there are delays during the week, they can cover them on weekends.
8–10 weeks
8 weeks is sufficient for 1 person. Courses for each skill are organized so that it is possible to complete them within 3–5 hours.
LXP Platform
Each sub-skill is fully applied in the LXP — Learning Experience Platform. Both theory is shown and 100% applied in practice.
Contact
Prepare Your Team for the AI Era
Our consultant will directly contact you, answer all your questions, and pricing information will be sent to you.
Contact for consultation
Get detailed information about the program
Contact for demo course
View demo online courses before starting the consultation program
Contact for team assessment
Measure your team's current level based on 20 skills
Online exam assessment
Online exam-based assessment for the team