Leanconf 2014: the “redesign” problem redesign through iterative experiments by kyle muller

Post on 05-Jul-2015

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Changing product features, introducing a new on boarding process or a redesign of your entire website; making a large scale change and not fully understanding the impact of design decisions can be a real challenge for both start-ups and established businesses. This can lead to a negative impact with no clear way of understanding what specific change is to blame and then the challenge of finding the 1 or 2 alterations out the hundreds that have been implemented that is causing the issue. The key to avoiding the “redesign” problem is to work towards large scale change through a managed program of iterative experiments. Testing the the effects of each change through a fast, comprehensive measurement approach that aims to understand both the “what” through quantitative measurement of experiments; as well as the “why” through simultaneous user research testing and validation. Learning what works and taking ideas further through iteration, building on top of winning experiments to release large changes in a controlled way that minimises risk. The practical outcomes of this talk that I would like the audience to take away are:​ The benefits of iterative design and how it differs from incremental change and optimisation. How to structure experiments, test plans and create learning focused hypotheses with the goal of iterative change in mind. How designers can take redesigns and break them down into testable parts. How to pick the the right method to validate your assumptions. How to manage simultaneous quantitative and qualitative experiments. Examples of the methodology in use. (All examples with be evidenced with real world cases studies from experiments run on live websites) How iterative experiments can be used in large organisations and start-ups.

Transcript

Redesign

@kmullr

WeExperiments

More challengers in a month than

competitors do in a year

Focused on learning and

fail-fast methodology

Redesign

Global Maximun

Simulated annealing

Local Maximun

It's

Slow, and really expensive

>1 Year£40 Million

1.5 Years£60 Million

2 Years£150 Million

Full Redesign

New Functionality

Page Redesign

1 Year +

4 Months +

2 Month +

Designs Fail,

A Lot

67% Fail66% Fail

90% Fail

90% Fail

Nearly Everything Fails

Difficult to predict

Results

Current DesignNew Design

Hidden Potential

C R

Fixed Header

New Gallery Layout

Alternative Images

Persuasive Messaging

Removed Video Icons

No Reviews Icons

Price Typography

Fixed Header

New Gallery Layout

Alternative Images

Persuasive Messaging

Removed Video Icons

No Reviews Icons

Price Typography

-

Iterative product

Design

Incremental Iterative Discontinuous

Small Leaps

Run Hypothesis Experiment

ObservationsAccept What Works,Reject

The Rest

Iterate From

Learning

Experiments

Metrics

Research

Vision

Accept✓

Reject⨯

Inconclusive-

⨯ Hypothesis Rejected ✓ Hypothesis Accepted⨯ Hypothesis Rejected ✓ Hypothesis Accepted

Navigating through

uncertainty

Iterating towards

Redesign

Have a

Vision (but be flexible)

Prioritise

Learning

Prove / Disprove Assumptions

Continuous

& Discontinuous

Con

tinuo

usD

isco

ntin

uous

Live Site

2 Weeks 2 Weeks 2 Weeks 2 Weeks

Iteration 1 Iteration 2 Iteration 3 Iteration 4

Champion vs

Control

2 weeks

Iteration 1

⨯ ✓ ⨯✓ ✓

2 weeks

Iteration 2

⨯ ⨯ ✓

2 weeks

Iteration 3

✓ ⨯2 weeks

Iteration 4

⨯ ✓ ⨯ ✓⨯ ⨯ ✓ ⨯ ⨯ ⨯

C I

I R

Large scale change is possible through

iteration

Understanding the implications of change

Making measured leaps to better performance.

Kyle Muller @kmullrQuestions

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