Many product teams make decisions based on intuition rather than hard data. They lack clear success criteria, making it difficult to determine whether product development truly leads toward business goals. As a result, efforts focus on the wrong indicators, and individual teams use different priorities, which hinders effective collaboration and the assessment of real progress.
The "How to Effectively Use Data for Digital Product Development" training will help organize this chaos. Participants will learn to recognize, define, and implement the right success criteria for their products, connect product metrics with company KPIs, and build a practical measurement model supporting development decisions. As a result, the entire team will gain a common data language and tools to work on the product in a measurable, focused, and aligned way with organizational goals.
Digital Product Managers
Product Analysts
Business Analysts
UX/UI Designers
Developers
Scrum Masters / Project Managers
of business benefits of using product metrics and measurement frameworks for different products
You will learn step by step how to design product metrics using a practical template.
Plan for implementing product metrics in your organization developed during the training.
The format is interactive, with elements of group work and discussions with the trainers and other participants.
The training takes place online on Google Meet using the Miro board (no account creation required, simple basic operations). A working microphone and camera are essential (best used on a computer).
1.
You will familiarize yourself with key decision-making methods—their strengths and weaknesses. You will understand the relationships between strategy, goals, OKR/KPI methods, metrics, and measurement models.
2.
You will learn what types of metrics and indicators exist, how they differ from each other, and how to select them effectively based on your needs.
3.
You will learn how to design product metrics from idea, through definition, to implementation. You will practice this skill during the workshop.
4.
If metrics are words, then measurement models are sentences. We will show you how to build models that comprehensively measure product health and tell its story.
Over 20 years in the data industry, first as an analyst, then manager and head of data. Tom has built analytics teams, implemented data-driven organizational cultures and delivered analytics projects (worked with Nestle, T-mobile, Play, Pracuj.pl, Brainly, Autodoc).
Academic lecturer and trainer. Also works as a coach and mentor, particularly with data analysts, analytics team leaders, and business professionals.
Over 25 years of experience in digital business. Long enough to handle digital analytics, search marketing, and user experience—and their intersections. Piotr has worked in managerial as well as expert roles at HP, Amnesty International, Eniro, Autodoc.
Created a startup in SEO test automation. Launched the Polish edition of Web Analytics Wednesdays. Has been training and speaking at conferences since 2000.
2 > 1
Our trainings are more engaging, more interesting, and learning is faster than in the classic model with 1 trainer.
20+
Years leading analytics work and teams in top corporations, startups, and e-commerces. We teach primarily based on our own experiences.
200+
during our trainings and workshops.
Obtain unique knowledge in an interesting, effective, and engaging way.
After completing the registration, we will contact you to arrange the payment and training details.
If you have any questions or doubts, please contact us:
Tel. 600 911 122 (Tomek)
Email: contact@noetikon.pl
Contact
Noetikon