Don't Diss the Dashboard (Pt 2)
Storylytics- Dashboard Focus

Don't Diss the Dashboard (Pt 2)

It’s the return of the dashboard! In part one of Don't Diss the Dashboard, we discussed why dashboards get a bad rap. If you haven’t read the first part, go back and give it a look to get even more out of this article. In part two, we’re picking up where we left off, exploring more about how the story of the dashboard is led by exception.

What’s an exception?

If we take a step back and consider what we’re really looking for in a dashboard, it boils down to this: looking at recent history to identify trends that deviate from expectations. We expect to be meeting our KPIs. We expect that our product innovation is driving volume. We expect that our outbound campaign is bringing in new leads. A standardized report of the data allows us to see, at a glance, how we’re “doing.”

Assuming we know the intended outcome of a dashboard, now we’re in a position to have a story to tell. And there are a two success factors in developing that story—knowing where the exceptions are, and knowing how to highlight the story to others.

Stories are found in exceptions

Early in my career with Nielsen Market Research (now NielsenIQ), my fellow analysts and I were responsible for monthly “trend checks.” Essentially, we were combing data to look for oddities that may point to data quality issues. While technology has made this process obsolete today, it was an excellent lesson in the importance of the big picture.

Successful trend checks were dependent on our understanding of category dynamics and planned activity. Only then could we confidently decide if changes in momentum (or lack thereof) needed attention, or if we were looking at indicators of a developing story.

This experience extended to understanding differences in expectations as well. Case in point: While working with a well-known food production company, a now-popular product was launched and, at first glance, appeared to be performing really well, surpassing all of our benchmarks for success. Imagine our surprise when we were met with disappointed faces when offering congratulations on the launch results.

In probing to understand the response, we learned that the team had set their launch targets exceptionally high—much higher than we would typically expect for the category—and we weren’t in the loop. Knowing that expectation completely changed the tone of the story that needed to be drawn from the data, and our subsequent delivery.

Many years have passed since I held those early positions in-house, but little has changed in terms of how important it is to understand expectations. Calling out exceptions is what makes for meaningful observations and sets leaders on the right path towards were a story lies. It’s a success criteria I can’t imagine will ever disappear—keeping on top or ahead of a rapidly changing market is a critical success factor in business, and it’s getting more important every day.

Drawing the story out of your dashboard is easier than you think

Mocking dashboards sometimes feels like an easy laugh in the vein of “funny-because-it’s-true.” A quick Google search will reveal a wide selection of dashboard cartoons calling out their (dubious) use.

While I love a good Marketoonist as much as the next person, there is an important truth that must be understood: Every dashboard, even a mediocre one, can surface a story if you understand the assignment.

Leaders are looking for exceptions in two categories when reviewing a dashboard:

  • Big and important: Tracking against key performance metrics for the business as a whole (i.e. are we on budget?) and important initiatives underway (i.e. project status, new launch.) Are we on track to meet objectives? If not, what’s the momentum and why?
  • Difference or change: Beyond the major initiatives, every business operates on an expectation of what the market is doing around them, from competitive influence, to consumer or market behaviour. Notable deviations could signal emerging opportunities or risks that the business needs to have on their radar screen.

When we look at dashboards through the big and important, difference or change lenses, suddenly a static, routine report becomes a vital tool in rapidly identifying stories.

Don’t let the findings get lost in the day-to-day grind

Now that you have a new perspective on the value of the dashboard, don’t let it go to waste. A data storyteller has an opportunity to shine a spotlight on the stories whenever a dashboard is issued (particularly to decision makers, where competition for attention is high.)

Add valuable commentary by first addressing movement on big and important items, then addressing differences or changes. These provide the first indication as to where the stories lie, giving direction for the story to come.

Dashboards work best when the purpose is clear

In part one of our dashboard two-parter, we compared dashboards to airplanes. For those without a storytelling lens, a dashboard is basically gobbledygook. It would be like sticking an untrained person in the cockpit of a 747 and telling them to hit the skies. Neither scenario—attempting to provide necessary, targeted information to decisionmakers, or getting the plane to its final destination—is going to end well.

In the same vein, a dashboard in the hands of someone who knows what they’re looking for stands a far better chance of moving the needle in a business. This is where the dashboard cartoons actually resonate. For those who don’t know how to find the information decision makers need and want, all of the jokes apply.

The good news is, I can help you to learn how to discover where the stories lie in your dashboards and more. Get in touch to learn more.

?

Ross Owen

Product Development Manager - Private Brands

11 个月

"Trend Checks" ...OMG !! haha

Laura Warren

Principal & Founder, Storylytics | Transform Your Data into a Story

12 个月

Part 1 explores some of the perceived challenges around dashboards that result in user frustration. Knowing is half the battle. https://www.dhirubhai.net/pulse/dont-diss-dashboard-pt-1-laura-warren-j42sf/

回复

要查看或添加评论,请登录

Laura Warren的更多文章

  • What “Know Your Audience” Really Means for Data Storytelling

    What “Know Your Audience” Really Means for Data Storytelling

    As the refrains of data-driven or data-informed decision-making grow louder, and the emphasis on data literacy…

  • 3 Keystone Habits of Great Data Storytellers

    3 Keystone Habits of Great Data Storytellers

    If you’re reading this article, you likely already understand stories are a powerful way to share a message (data or…

  • The “But, Therefore” of Data Storytelling

    The “But, Therefore” of Data Storytelling

    Analytics inherently has all the building blocks of a great story. We’ve got tension (are plans hitting the mark?)…

  • Don't Diss the Dashboard (Pt 1)

    Don't Diss the Dashboard (Pt 1)

    I’ve talked to a lot (a lot) of executives about what they need from their data, and the consistent theme is this: Tell…

    5 条评论
  • The Greatest Skill to Master as a Data Storyteller

    The Greatest Skill to Master as a Data Storyteller

    When it comes to landing your message, know that your audience will generally remember just one thing from any…

    2 条评论
  • Is AI Going to Change the Face of Data Storytelling?

    Is AI Going to Change the Face of Data Storytelling?

    Artificial intelligence isn’t new—its origins go back close to 80 years. As it evolves (and gets smarter!), we start to…

    6 条评论
  • What, So What, Now What - What?

    What, So What, Now What - What?

    If there ever was one phrase in data storytelling that causes heads to explode, it’s “I need the ‘so what.’” I hear it…

    8 条评论
  • What 'Don't Look Up' Teaches Us About Data Storytelling

    What 'Don't Look Up' Teaches Us About Data Storytelling

    Yes, it’s a satirical dark comedy about impending global doom, but there is one moment that encapsulates everything…

  • What's An Insight? (And Who Decides?)

    What's An Insight? (And Who Decides?)

    I don’t think there’s any question that “insights” are the holy grail of analytics. Everyone wants them, many claim…

    6 条评论
  • Stories Must Stay True to Data

    Stories Must Stay True to Data

    This article originally appeared in the Storylytics In Conversation blog. During the early days of the COVID-19…

    7 条评论

社区洞察

其他会员也浏览了