Data Insights

Looking for data-centric content and conversations you can lean on when building your own data narrative story? Check out this data-insights bundle.

Ready to hone in? Take Insight

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Tools & Templates

Action Plan
Use this guide to define data, uncover patterns, ask the right questions, execute your data project and craft a compelling narrative around your results.

Data Assessment
Look to this assessment quiz to see if your organization is getting the most out of its data. Compare results with colleagues and uncover new opportunities to drive business outcomes.

Data Census
Tap this census when looking to take stock of current internal data sources, discerning ownership of those sources, ways for evaluating their value and beyond.

Data Project Partner Decision Tree
Utilize this decision tree to assess the best path forward for data projects and internal team abilities as well as the considerations and questions to ask when choosing whether to partner or buy.

Data Roles
Reference this resource when looking for key data responsibilities, (data) languages and expertise commonly associated with the roles of the data profession. 

Data Science Glossary
Look to this glossary resource for a robust list of data science industry terms to help you best engage with data peers, professionals and projects alike.

Data Question Types
Use this taxonomy of data questions to determine the types of questions you're asking of your data and the analysis your data team will use to answer questions like the weight of cost, complexity, and potential value of the data project.

Aligning Qualitative Data
Turn to this guide when seeking best practices for aligning your qualitative data: Hint: Be judicious, be purposeful and be flexible.

Pragmatic Data Insights Model 
Use this power-packed resource when looking for a scalable, repeatable model that you and your data partners can utilize to Define, Prepare, Refine, Analyze, and Present your data projects.

Insight Report
Consult this resource when looking to turn your data analysis into a compelling narrative. Build confidence in your data-driven recommendations utilizing framework activities within this easily consumable tool.

Machine Learning
Tap this infographic when looking to access starting points to having meaningful discussions within your data teams on subjects like: Model Types, Model outcomes, & Model accuracy, Explainability and more.

Theme Tracker
Utilize this Theme Tracker for aligning your teams on the themes and tags you use to encode your qualitative data. Identify common occurring themes and tags according to their sentiment and utilize it to discern which groups within your market segment are providing the most data.

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Tools &Templates

PAC Discussions

Articles, Blogs & Reports

Videos, Webinars & Podcasts

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PAC Discussions

Metrics That Measure Product Marketing Performance
In this thread peers exchange the metrics they utilize when looking to measure annual success of product marketing performance and teams.

Product Maturity Metrics
Members share metrics and KPI's when tracking a product nearing the end of its product lifecycle.

Presenting Data To Your Company
Here peers exchange thoughts, dashboard examples and tactics for presenting data-driven insights within your organization.

Collecting Initial Data Using Voice
In this thread, members exchange ideas and resources for data collection utilizing VOC.

Where To Collect Market Research Data?
In this discussion, alumni swap thoughts on where to collect research data within a start-up environment and solutions for structuring your data storage.

Product Marketing Data Project Content and Resource Suggestions  
Here product pros talk tips and tricks for getting buy-in on the importance of data from champions outside of the organization.

PM Performance Metrics
On this thread, peers exchange some of the best metrics for measuring PM success within both new and already established product roles. 


Have a clarifying question or an insight to add? Add a comment and revive a thread above, these are living resources that get better with your input.

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Articles, Blogs & Reports

How to Learn AI as a Product Manager: Start Here
Article: 64% of professionals haven't used AI in their jobs, yet. Why? Not sure how to start? Begin implementing AI in small, manageable ways within your product. Identify areas where AI can add value, such as improving personalization, recommendation systems, or automating certain tasks.

How to Write a Kick-Butt Product Datasheet
Article: This article emphasizes the importance of clearly communicating the product's value proposition, key features, and benefits in a concise and compelling way. By following these guidelines, product teams can create a powerful tool that can help them win over potential customers and differentiate their product from competitors.

Making the Case for Usage Data in the Product Development Life Cycle
Article: In this article, discover how to make data-driven decisions and streamline your product roadmap to accelerate key decision-making.

Get to the Data
Article: This article details the steps you can take to develop a protocol, validate your information, build credibility and make sure you are on the right side of the divide. 

Salary Data Trends
Article: When it comes to knowing your worth, it pays (literally) to do your research. Comparing salary trends across multiple websites offers a comprehensive view of the market to understand fair compensation for your role.

Unveiling the Relationship Between Successful Products and Data
eBook: This resource delves into how insights-driven companies use data to build better products—and gain a competitive edge.

6-Steps To Becoming More Data Mature
Article: This article details and outlines the six steps you can utilize to positively contribute to your organization's data maturity efforts.

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Videos, Webinars & Podcasts


How To Measure Success Through Every Stage Of The Product Lifecycle
Webinar: In this product chat we welcome Anand Arivukkarasu, Product Leader (formerly of FB) for a conversation on how you can use measurement to ensure success throughout every stage of the product lifecycle.

Using Data Insights To Create Value-Driven Content Strategies
Webinar: In this product chat Anjana Gopakumar, Product Editorial and Metadata Leader at Netflix joins us for a conversation on how you can utilize data insights to elevate your content strategies and key factors to consider to remain data-minded throughout every stage of your content creation.

How To Shape Your Data Narrative
Workshop: In this workshop instructor Cindy Cruzado shares how to best leverage your product skills when building data narratives and walks us through a deep dive into how to approach and shape those narratives when tackling product topics like "competitive analysis" and "buyer personas".

Future-Proofing Your Product Like Uber
Webinar: In this Product Chat Francisco Bram, head of global product marketing at Uber Eats, utilizes data-driven insights to collect user behaviors, identify customer patterns and shares how to use your market to future-proof your product.

Pragmatic's Sneak-Peek Into Strategic Marketing Approaches For 2022
Webinar: In this Product Chat our very own Rebecca Kalogeris and Ian Templin share their data findings on the evolution of the product marketing role and what practices you can lean on to elevate your voice and empower your teams to align messaging and market and business goals.