If you are a product manager, designer, engineer, or leader of one of these teams, you know that one of the most important parts – and challenging – from the job decides what to build.

This is because the product team is no longer only responsible for building functionality that meets user needs. They must also provide products and features that encourage business results – all of which begin with effective product discoveries.

Getting the correct product discovery is one of the best ways to encourage results such as reducing risk in the development process, reducing support and R&D costs, and increasing income. But what is this like in practice? Pendo and think about the product created Product discovery certification course To answer this right question.

This course dives deep into the basis of product discovery, how to use data and AI at each stage, and why product discovery is the key to products – and business – sadness. This is also full of proven frameworks, the best practice, and examples of real world that you can apply to your own strategy. After you take the course and pass the exam, you will get a digital badge “Product Discovery Certified” that you can add to your LinkedIn profile.

Ready to start with a product discovery certification course? Register for free here.

What is the discovery of effective products?

Certification Courses for Product Discovery Centered around the Six Part Framework for Product Discovery. The following is a brief picture:

Part one is for Determine the results. Determining business goals that you want to impact is the key to encouraging meaningful product discovery. If possible, the team should try to identify this result from the beginning.

Part two is for Understand user problems. This is the time for you to turn to the mindset of your customers and spend time to get to know your users – and more specifically, their pain points.

The third part is Identification of problems that must be solved. Use the input that you collect to identify the most urgent problems when solved, will affect the results you identified at the beginning of the process.

Part four is for Explore possible solutions. Gather together as a team to think about various ways to solve problems with your product. This is where you become very creative and use innovation training such as team brainstorming, mind mapping, and storyboarding.

Part five is test and validate solutions. The purpose of this step is to exit with solutions that will switch to development. And the best way to do this is to test different solutions from your customers and get their feedback directly.

And part six is Cover the loop. This may seem like deciding what to build and switch to development is the last step, but it is very important for you to close the circle – both with your customers and stakeholders.

Data -Based Discovery Strength

Another central theme throughout the course is the importance of data. When coming to product discovery, quantitative and qualitative data not only helps you uncover user problems, but also allows you to understand the problems in depth, determine which to solve, and project – and measuring – the impact of the solution.

In the course, we focus on four main types of data that can be used for discovery: research, customer feedback, Product Analysisand testing.

The product team can (and must) also use Ai To collect and analyze data more efficiently and on a larger scale. Here are three ways AI can help optimize the product discovery process:

1. AI can help speed up product discovery
2. AI allows the team to enter more input
3. AI makes the product discovery more sustainable

Let’s walk through the sample of the discovery of data products and AI for each of the four types of data above.

Research: If you try to increase certain features, you can manage surveys in the application and only user targets have been involved with features in the last three months.

Customer feedback: The team can use AI to analyze large amounts input Submission and extract of pain points and general themes – Helps accelerate the process and enable faster decision making during discovery.

Product Analysis: Use the funnel to measure how the user moves through a series of specified steps and identifies where there is a dropoff – signing the user problem that needs to be handled.

Testing: Generative AI Leverage by providing instructions informed by customers and other data to quickly make prototypes ready to be validated.

Peek at courses

Want to see what Product discovery certification course like? The following is a clip of Module 2, where Nichole Mace (SVP products and user experience in Pendo) explore how the discovery has developed with the process of developing products and AI revival.

This is what you can expect from the course:

• • 5 modules that include product discovery frames and strategies
  • 1.5 hours of video that leads the instructor
  • The curriculum developed by product management and UX experts
  • Product discovery resources that can be downloaded
  • Optional test to check your knowledge and get a badge

Ready to be certified? Register for product discovery certification courses free Here.