Rethinking AI for BI, what “customization” taught us years ago, and behavior vs. words Now, let’s talk about AI for BI – does your customer really want to talk to their data? If you ask customers, I would imagine about 9/10 would say “yes,” because they are imagining a magical system that is general-purpose, and … Read more
Prefer audio? This article is also available as podcast episode 189, where I explain The Invisible Intelligence Gap: my term for why technically strong analytics products still struggle to sell or get adopted. Listen Now Why Sophisticated B2B Analytics Products Don’t Sell Despite Their Technical Excellence I’ve worked with a lot of teams building analytics and … Read more
As is typical for most web technology since I have been in the space, engineering and tech will always lead the race-and design and business will chase behind it, trying to make it useful, usable, and trustworthy-and monetizable of course. So-how do we address the monetization part as product leaders? Well, the lucky few of … Read more
With GenAI and LLMs comes great potential to delight and damage customer relationships—both during the sale, and in the UI/UX. How should AI company founders and product leaders adapt?
Since you’re probably a data person, you’re probably wondering “how did you calculate that?” Unfortunately, not very efficiently! Podbean, my platform for the Experiencing Data podcast, does not provide very good analytics information, so these stats are simply based on the # of downloads in the calendar year 2024. This doesn’t account for when the … Read more
One thing on my mind recently is that I think the term “data products” is probably doomed to become a fad, because the most important part of this-the producty way of working-is all often, simply, missing. It’s becoming another meaningless label-and that’s regardless of the debates around the definition of data product. Why? There are … Read more
What I hear from product management and business leaders when they’ve taken a DIY approach to their UI/UX design and product strategy—and it hasn’t worked out as they hoped.
Rather listen to this? I also recorded a 2-part podcast episode about this. Listen to Ep. 147 Let’s look beyond the “rewrite with AI” button and chatbots! Generative AI in 2024 is all the rage and for the most part, to date, I haven’t seen or heard about many great examples of these making a … Read more
The sooner you stop believing this, the better off you will be-if you really want to increase the organizational, economic and human value of your data products. Stop measuring your product’s user adoption by counting things like viewing sessions, time on page, and other analytics. In fact, simply measuring “adoption” is wrong-with or without analytics. … Read more
I’ve developed a 4-level maturity model for data product management in enterprises, ranging from unaware order-takers to mature, cross-functional teams delivering strategic, high-value data products. Though imperfect, this emerging model aims to provide insights for assessing and advancing organizational maturity in this space.
Plus, a list of (20) symptoms that your enterprise data product, ML app, or SAAS analytics solution has a design problem.
Most definitions of data product focus on trying to firmly define the boundaries of the technology output. My definition focuses on the benefits to the user and the innate requirement of value to be present.
You probably rock at building enterprise ML and analytics applications, software products, and dashboards-but if buyers, stakeholders, and users just aren’t seeing the value, your problem isn’t your tech. Similarly, the solution is not in your code, pipeline, model, or GitHub. However, there are tactics and strategies from UX design, product management, psychology, marketing and other fields that you can apply so your technical work has impact, creates delight, and generates value.
“Can you take a look at my UI and provide feedback?” It’s a common question I get. How do we judge a UI/UX design of an SAAS analytics tool? By understanding what the customer is trying to do and what a meaningful outcome looks like. What are the signs we’re on track? Learn more in this story from my time advising MIT Sandbox Venture Fund founders.
If you’re running an internal enterprise data science or analytics team, and you can’t get the time of your stakeholders and business partners “to help you help them,” there’s probably a reason – or two – or three. These are some of the cold hard facts that maybe they won’t tell you–but maybe they are … Read more
The work of enterprise data science and analytics teams is often experienced in software-whether it be via custom apps, dashboards, or BI tools. As such, data teams are software teams-but many of them do not build solutions the way the best software product teams do. What can data leaders learn-and steal-from software teams who put … Read more
If there’s one thing I see a lot of in my work, it’s dashboards. I don’t talk about dashboards a ton because a dashboard alone is neither a data product nor an experience. It is an output and artifact that is part of a user or stakeholder’s overall experience, typically in our case, in some decision making context. … Read more
Below are ten 2022 predictions for data product leaders and organizations trying to leverage ML and analytics in their software, tools, apps, and services. From the lens of a consulting product designer. Yea, you head that one right. If that PhD in physics, statistics, math or engineering in you is already making you cringe, you may depart this … Read more
Everybody loves a Top 10 list at the end of the year! How about one with pretty lousy data to back it up? 😉 Analytics on analytics here ladies and gentlemen! Since I know this audience will probably be asking what the data is behind the ranking, it’s pretty simple: it’s the number of downloads … Read more
A link list of articles and resources on building data products, and particularly the mind shift involved in approaching data products as just that: products, not projects. Is something missing here? Shoot me an email and let me know. From Data to Product (Newsletter, Eric Weber) Run Your Data Team as a Product Team (YouTube) feat. … Read more