Case Study: A Discount Approach to Comparing Multiple Design Alternatives

Post on 27-Jan-2015

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From the IXDA Boston night of Short Talks (http://tinyurl.com/4uoqhn) I had 10 minutes to give this 32-transition presentation: What\'s the Best Way to Compare Multiple Design Alternatives? Good design practice suggests you create multiple sketches, which eventually evolve into full-out design alternatives. However, once you have those alternatives, what\'s the best way to decide which one wins? I will review one approach and talk about the pitfalls and advantages to evaluating multiple designs at once. (What's even more amazing is that I was really busy that week and didn't start working on the presentation until I'd sat down in the audience to hear the other speakers. The entire presentation came together in under 90 minutes.)

Transcript of Case Study: A Discount Approach to Comparing Multiple Design Alternatives

Case Study:A Discount Approach to Comparing Multiple Design Alternatives

User Interface Engineering

Jared M. SpoolFounding Principal

©2008, User Interface Engineering. All rights reserved

The Problem

The Problem

Home page redesign for a big site4 million visitors a month

The Problem

Home page redesign for a big site4 million visitors a month

Never done a usability test before

The Problem

Home page redesign for a big site4 million visitors a month

Never done a usability test before

Only allotted 2 days of testing

The Problem

Home page redesign for a big site4 million visitors a month

Never done a usability test before

Only allotted 2 days of testing

Budget: less than $10,000

The Problem

Home page redesign for a big site4 million visitors a month

Never done a usability test before

Only allotted 2 days of testing

Budget: less than $10,000

5 design alternativesBy an outside design firm

Current Design

Current Design Alte

rnat

ives

#1

#2

#3

#4

#5

Current Design Alte

rnat

ives

#1

#2

#3

#4

#5

Evaluate in 2 days

Current Design Alte

rnat

ives

#1

#2

#3

#4

#5

Evaluate in 2 days

Under $10k

Approach #1:

“Within Subjects” with Multiple Designs

Learning effects

Too Many Combinations

Approach #2:

“Between Subjects” with One Design

Not enough users

but

but

Assumption Bias

Looking at the Problem Differently

Based on Inherent Value Testing

10 to 12 participants

Compares the existing design to the best alternative

Six-Step Process

Step 1:

Build a Weighted

Differences Matrix

DifferenceWeight Current

DesignDesign Alt #1

Design Alt #2

Design Alt #3

Design Alt #4

Design Alt #5

DifferenceWeight Current

DesignDesign Alt #1

Design Alt #2

Design Alt #3

Design Alt #4

Design Alt #5

Better search access

More descriptive links

Floating navigation

On-screen login

Visible top-rated items

8 2 3 1 5 3 5

6 3 4 2 2 3 1

5 2 5 0 5 3 0

4 5 5 3 3 3 1

6 1 3 5 3 5 0

DifferenceWeight Current

DesignDesign Alt #1

Design Alt #2

Design Alt #3

Design Alt #4

Design Alt #5

Better search access

More descriptive links

Floating navigation

On-screen login

Visible top-rated items

Total Scores

8 2 3 1 5 3 5

6 3 4 2 2 3 1

5 2 5 0 5 3 0

4 5 5 3 3 3 1

6 1 3 5 3 5 0

70 111 62 107 99 59

Step 2:

Recruit from Two User Groups

Step 3:

Use an Inherent Value

Testing Protocol

Step 4:

Add in “Best” Alternative

Step 5:

Add in Competitor’s

Design (when possible)

Step 6:

Evaluate Design

Alternatives against

Differences Matrix

DifferenceWeight Current

DesignDesign Alt #1

Design Alt #2

Design Alt #3

Design Alt #4

Design Alt #5

Better search access

More descriptive links

Floating navigation

On-screen login

Visible top-rated items

Total Scores

8 2 3 1 5 3 5

6 3 4 2 2 3 1

5 2 5 0 5 3 0

4 5 5 3 3 3 1

6 1 3 5 3 5 0

70 111 62 107 99 59

DifferenceWeight Current

DesignDesign Alt #1

Design Alt #2

Design Alt #3

Design Alt #4

Design Alt #5

Clearer trigger words

Interactive drill-down

Remember Previous Picks

Better search access

More descriptive links

Floating navigation

On-screen login

Visible top-rated items

Total Scores

9 0 1 1 3 3 1

10 0 2 2 1 4 5

10 0 0 0 5 0 0

8 2 3 1 5 3 5

6 3 4 2 2 3 1

5 2 5 0 5 3 0

4 5 5 3 3 3 1

6 1 3 5 3 5 0

70 140 91 194 166 118

Comparing Multiple Design Alternatives

Understand the differences between alternatives

Account for assumption bias

Focus on collecting data about the current design

Learn the problems that users are currently facing

Use the user data to make informed design decisions

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