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Professional Product Discovery and Validation (Beta Course)

Live Virtual Class, September 17, 2024

Class Overview

Enhance value creation through practical application of discovery and validation skills
 

This one-day skills course on product discovery and validation offers hands-on training to participants, enabling them to enhance value creation through practical application of discovery and validation skills in product development. This course covers core skills, equally essential for both greenfield scenarios but also the enhancement of existing products.

Experimentation and collecting evidence are more and more important in today’s ever-changing business environments. Thus, learning becomes a first-class citizen and this course teaches the essential skills needed to drive targeted learning. With these skills, you will delight customers while achieving company impacts and controlling risk exposure, thus optimizing Return on Investment (ROI).


Throughout the class, students learn a number of discovery and validation practices that they can use once they leave the classroom.

Class Details

Language

English

Delivery Method

Live Virtual Class
Time Zone: Europe/Zurich
Start/End Time: 9:00 AM - 5:00 PM

Date

Start: September 17, 2024
End: September 17, 2024

Class Format

Traditional

Partner

Wowefy

Registration & Price

Price: CHF 497
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More Information

Course Overview

In this one-day* skills-building course, students use an ongoing case study as a way of applying techniques learned throughout the class and preparing to take what they learn back to their workplace. This course is designed for Product Owners, Product Managers, and product teams to enable them to better incorporate discovery and validation into their product development process.

Product discovery and validation focuses the team toward achieving customer outcomes and company impacts. Teams learn how to work in iterative cycles to assess what works best for the user. Leveraging product discovery and validation techniques, the course takes a user-centric approach, illustrating how this comes together with development and delivery. Students learn how discovery, delivery, and validation fit together to lead to an end-to-end empirical approach to product development..

Course Learning Objectives

  • Increase user value created by deliberately designing experiments to validate assumptions about user’s needs and wants
  • Reduce waste and improve ROI by consciously only investing based on evidence gathered from validation
  • Improve organisational collaboration and alignment by engaging with key stakeholders using data instead of opinions
  • Unlock creativity by reframing work as problems to solve rather than tasks to execute

Who Should Attend this class?

This course is appropriate for students who are currently working as a Product Owner or Product Manager and are looking for practical ways to increase user value created, make data-informed decisions, and better investments. This course is also suitable for members of product teams.

Course Learning Outcomes

  • Identify what assumptions are being made
  • Explain what assumptions need to be validated
  • Describe the principles used to prioritise which assumptions to validate first
  • Use the right data to gather to test the hypothesis
  • Explain why a desired signal strength is needed to validate a hypothesis
  • Manage your cost for running the experiment based on desired signal quality and confidence level
  • Customise a hypothesis to in/validate assumptions
  • Define facilitation techniques for high level of creativity and diversity in solutions
  • Analyse the results of your experiments
  • Use learnings in your decision making process

Professional Product Discovery and Validation Certification

 

All participants completing the Professional Product Discovery and Validation course will receive a password to attempt the Professional Product Discovery and Validation certification assessment. PPDV class participants who attempt the PPDV assessment within 14 days of receiving their free password and do not score at least 85% will be granted a 2nd attempt at no additional cost.


 

Registration

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