UX Principles for Information Systems Design

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User Experience Principles for Information Systems Best Practices in Presenting Analytical Information

description

UX design principles for creating dashboard information systems.

Transcript of UX Principles for Information Systems Design

Page 1: UX Principles for Information Systems Design

User Experience Principles for

Information SystemsBest Practices in Presenting Analytical Information

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Data is everywhere.

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People use information systems to understand data and solve problems.

(Or at least try to…)

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There are 3 fundamental questions that must be answered by every information

system:

1.What is happening now?

2.If there are problems, why?

3.What do I do next?

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What is happening now? = KPI’s (Key Performance Indicators)

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What is a KPI?

• Timely

• Relevant

• Directly answers a primary business question

A KPI is a piece of information with the following attributes:

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ExamplesKPI’s are usually in the form of

[some event or action] per [unit of time]

• New sales per day

• Phone minutes (used) per month

• Miles (travelled) per hour

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If a metric doesn’t answer a primary business question,

it’s probably best utilized as context.

Context helps fill the gaps…

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The 2 best ways to identify KPI’s

1.Interview your customers about which metrics matter most.

2.Take your best guess and let your users customize it!

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If the KPI’s indicate a problem,the user will want to know why it’s happening.

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Use Context to explain Why

• The most common UX paradigm for this is to use “drilldown” pages.

• These pages usually exist one level below the main page in the IA.

• These pages should provide enough details to adequately explain and define one of the main metrics, i.e. context.

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Context is there to help fill in the gaps.

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Edward Tufte describes context as“doing whatever it takes to explain a

concept”.

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Here is Tufte’s classic example of context.

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In essence, context is storytelling.

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So here’s an example…

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Someone sprinted for 19.19 seconds.

• Data is just an abstraction of real events.

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An athlete sprinted 200m in 19.19 seconds.

• A single data point is always connected to a series of other data points.

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Usain Bolt sprinted 200m in 19.19 seconds and set a new world record to become one

of the world’s greatest sprinters!

• Establishing effective context is about putting data points together to tell a more effective story.

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When you’ve shown people what’s happening,

and you’ve told a great story about why,they want to know what to do next.

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What do I do next? = Actionable Insight

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A compelling story leads to actionable insight.

• What you do with KPI’s and context, may lead to insight without doing anything else.

• Otherwise, you will need to find ways to “spell it out”.

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It’s about helping people“connect the dots”.

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Sometimes, the story is complex.

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Sometimes, it’s too simple.

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In general, the human brain is

conditioned to look for patterns and

variations.

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So an ideal information system should help the user quickly identify patterns and variations.

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Someone sprinted for 19.19 seconds.

• If you were trying to be a better sprinter, what insights can you gain here?

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Usain Bolt sprinted 200m in 19.19 seconds and set a new world record to become one

of the world’s greatest sprinters!

• How about now?

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Study your customers’behaviors and tendencies.

• Align the product to what people do in real life by studying what your customers do and how they do it.

• Connect other related activities to drilldown screens where it makes sense, to make the system feel “intuitive”.

• A common thing people do is take data tables and graphs and put them into Excel spreadsheets and PowerPoint decks.

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In the end, the goal is to help people analyze things.

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So make sure the story you tell is a

masterpiece!