Transcript
Page 1: Measuring the Wrong Thing: Data-Driven Design Pitfalls

Measuring the Wrong Thing:Data-Driven Design Pitfalls

@nstop Jen Matson

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Hi, I’m Jen Matson.

• Senior UX Designer at Amazon• Designing & building web sites since 1994• Unabashed data junkie

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From Ideas and/or data by Cennydd Bowles

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Case Study #1:The Meaning of A Click (or Tap)

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Case Study #1:The Meaning of A Click (or Tap)

Company:Movie listings site

Project:Create a mobile-optimized view of the movie detail page

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Case Study #1:The Meaning of A Click (or Tap)

Movie Showtimes

Average Review

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Case Study #1:The Meaning of A Click (or Tap)

Movie Showtimes

Average Review

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Case Study #1:The Meaning of A Click (or Tap)

Movie Showtimes

Average Review

Result:Mistaking one thing for another

Causes:• Too focused on quantitative data• Clickable UI elements too

closely grouped

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Case Study #1:The Meaning of A Click (or Tap)

Movie Showtimes

Average Review

Potential impact:• Frustrated users due to

“broken” UI• Drawing the wrong conclusions

about what users want/like• Building more features based

on those conclusions

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Case Study #1:The Meaning of A Click (or Tap)

Movie Showtimes

Average Review

How to fix:• Gather qualitative data

(customer feedback) along with quantitative

• Make time for usability testing, and subsequent design/dev cycle prior to launch

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Case Study #2:Throwing Stuff Against the Wall

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Case Study #2:Throwing Stuff Against the Wall

Company:Mobile service provider site

Project:Redesign the help portal to offer personalized content

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Case Study #2:Throwing Stuff Against the Wall

Help

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Case Study #2:Throwing Stuff Against the Wall

Help

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Case Study #2:Throwing Stuff Against the Wall

Help

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Case Study #2:Throwing Stuff Against the Wall

Help

Result:False positive

Causes:• Choosing a metric

(clicks) with only a loose connection to user need

• Poor communication between teams

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Case Study #2:Throwing Stuff Against the Wall

Help

Impact:• Irrelevant content

leads to user confusion, lack of trust

• Failure to improve help relevance due to bad data feedback loop

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Case Study #2:Throwing Stuff Against the Wall

Help

How to fix:• Audit relevance of

help, match to real user attributes

• Use real user events to power suggestions

• Unify project teams

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Case Study #3:Unclear Cause and Effect

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Case Study #3:Unclear Cause and Effect

Company:TV manufacturer site

Project:Redesign the search engine for the support section to make content easier to find

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Case Study #3:Unclear Cause and Effect

User tasks:1.Find article (search)

2.Read article

3.Use solution or tool found in article to solve problem

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Case Study #3:Unclear Cause and Effect

User tasks:1.Find article (search)

Content: Findable

2.Read articleContent: Consumable

3.Use solution or tool found in article to solve problemContent: Actionable

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Case Study #3:Unclear Cause and Effect

Search Results

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Case Study #3:Unclear Cause and Effect

Search Results

Contact

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Case Study #3:Unclear Cause and Effect

Search Results

Help Article Tool

Contact

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Case Study #3:Unclear Cause and Effect

Search Results

Help Article Tool

Contact

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Case Study #3:Unclear Cause and Effect

Search Results

Result:Unclear impact

Causes:• Choosing to measure only what we

were already set up to measure• Lack of data to ensure business

goals are aligned with project work

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Case Study #3:Unclear Cause and Effect

Search Results

Impact:• Data gathered from product

launch not useful in helping to prioritize future features

• Further defer updates to content and tools due to lack of data

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Case Study #3:Unclear Cause and Effect

Search Results

How to fix:• Work with product manager on

goals, project definition before finalized

• Use customer journey and task mapping to highlight data collection needs

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What else?

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Understand your company culture

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Learn more about what you can measure,

and how

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Learn more about what you can measure,

and how

hovers

clicks

scroll depth

site path

mouse pathdwell time

data inputs

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Use what you learn to improve your designs and

increase your influence

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Add new questions to your

arsenal

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Add new questions to your

arsenal

What data do we have to support this?

How will we get data to validate this?

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Thank you.

@nstop Jen Matson

https://www.flickr.com/photos/72764087@N00/9990024683/https://www.flickr.com/photos/coolmel/5469163/https://www.flickr.com/photos/37182073@N06/5142618640/

Photo credits (in order of appearance):https://www.flickr.com/photos/notemily/4765937286https://www.flickr.com/photos/gwdexter/1401789875


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