Remove common-values
article thumbnail

20 Common Values [and Why People Can’t Agree On More]

Nir Eyal

When you replace the typical definition of ‘values’ with a better one, your life suddenly becomes clearer. When I recently came across the headline “The World’s Most Influential Values, In One Graphic,” I couldn’t help but click–a good data visualization is like catnip for me.

article thumbnail

Product Management University Launches The Customer Outcome Framework for Product Management, Product Marketing, Sales and Customer Success

Product Management University

Measurable Customer Value. It’s a simpler approach for bringing quantifiable strategic value to the customer versus the typical approach of focusing solely on customer problems. It’s the simplest way for solution providers to consistently deliver measurable strategic value to the customer and to their own organization.

Framework 246
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Defining Product Outcomes: The 8 Most Common Mistakes You Should Avoid

Product Talk

I recently sat down with fellow Product Talk coach and instructor Hope Gurion to discuss some of the common mistakes we see teams make when it comes to defining outcomes. Mistake #2: Not Connecting Outcomes to Business Value. We prefer to see outcomes that span features, so focusing more on the value you get from using those features.

article thumbnail

10 Things That Would Happen if All Customer-Facing Disciplines Were Aligned to a Common View of the Customer

Product Management University

Here are 10 things that would happen if product management, product marketing, sales and customer success all had a common view of your target customers. There’d be a common understanding of what customers are trying to accomplish, why those business goals and outcomes are critical to their success and how they measure success.

article thumbnail

The Essential Guide to Analytic Applications

Read more on: How embedded analytics is transforming product roadmaps How to add value to your software with predictive analytics Common mistakes to avoid when presenting data Download the white paper to learn about the essential guide to analytic applications.

article thumbnail

Six Common KPI Mistakes to Avoid

Roman Pichler

You’ll end up guessing how well the product is doing and if it is creating the desired value. While common sense suggests that managing a product without the right measurements is not a sensible approach, I’ve seen product teams who did not use any KPIs. The same is true when you don’t use any key performance indicators.

KPI 285
article thumbnail

Strategic Portfolio Management 3 of 10 – How To Use a Portfolio Vision to Lead Products

Product Management University

Put this structure in place and everyone in your organization that touches the products or the customer now has a common value target that allows everyone to do their part on the execution side. Product Management and Engineering will build products that eliminate the next biggest obstacles to the customer’s ultimate strategic goal.

Vision 130
article thumbnail

Drive in the Express Lane to Product Growth

Speaker: John Mansour - President, Product Management University

In this webinar, we’ll explore the common element that gives us the easiest route to growth and which product metrics matter most. Analytics that guarantee customer value. If you’re a hard-core believer in traditional product management practices, you might be uncomfortable, but growth occurs outside of our comfort zones.

article thumbnail

How Product Teams Can Leverage Community

Speaker: Scott Baldwin of ProductBoard

Product managers and community managers share a common goal: to deliver value to their users. How can they work together to do that? Through in-depth user insights, a clear product strategy, and an inspiring roadmap. Building products is a team sport and involves everyone working together to get the right products to market faster.

article thumbnail

How Banks Are Winning with AI and Automated Machine Learning

In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. Simple rules for spotting high-value use cases within your own organization. How today’s banks can handle the data science talent shortage.

article thumbnail

How Banks Are Winning with AI and Automated Machine Learning

In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. Simple rules for spotting high-value use cases within your own organization. How today’s banks can handle the data science talent shortage.

article thumbnail

Predictive Analytics 101: Your Roadmap to Driving Key Product Decisions

Speaker: Sriram Parthasarathy

Predictive analytics is an increasingly common buzzword with many forms. We’ll explore real-world examples of predictive in action and outline steps to help you maximize its value. You'll learn: The definitions of common industry terms including predictive analytics, advanced analytics, and more.

article thumbnail

ABCs of Data Normalization for B2B Marketers

At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. Why is this so essential?

article thumbnail

Developing Valuable Community-Based Advocacy Programs

Speaker: Bill Johnston, Community Innovation Officer at Structure3C

It follows that community-based advocacy programs can produce tremendous value and have a transformative impact on both the community and host company. Common pitfalls. All attendees will receive access to exclusive program planning templates. On Tuesday, June 21, at 12pm ET, join us to learn: The key element of a successful program.

article thumbnail

The Complete Predictive Analytics Lifecycle for Application Teams

Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics

Applications with predictive analytics are able to deliver massive value to end users. You’ll learn: The most common use cases for predictive analytics, such as increasing sales and reducing customer churn. How to source data from multiple systems and overcome common data challenges.