research analysis: getting more from your data

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Research analysis Getting more out of your data

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Page 1: Research analysis: getting more from your data

Research analysisGetting more out of your data

Page 2: Research analysis: getting more from your data

Today we’ll…

Walk through a four-stage analysis process Try out some of the activities

Introduce some bonus options

Page 3: Research analysis: getting more from your data

Analysis: why bother?

Page 4: Research analysis: getting more from your data

1. Organise

2. Absorb the data

3. Discover patterns

4. Work with patterns

Page 5: Research analysis: getting more from your data

ORGANISE

Page 6: Research analysis: getting more from your data

First, consider…

What do you need to get out of it?

How much time have you got?

Who will you work with?

What tasks / activities will you use?

Page 7: Research analysis: getting more from your data

What do you need to get out of it?

Insight vs evidence vs ideas

Page 8: Research analysis: getting more from your data

Who will you work with?

ABSORB THE DATA

DISCOVER PATTERNS

WORK WITH PATTERNS

On your own 2-3 people Research, designer

2+ people Research, designer, product owner …

Page 9: Research analysis: getting more from your data

How much time have you got?

ABSORB THE DATA

DISCOVER PATTERNS

WORK WITH PATTERNS

Min: 1/2 day Max: 2.5 x the duration of your recordings

Min: 1/2 day Max: 2 days

Min: 1/2 day Max: 2 days

Page 10: Research analysis: getting more from your data

What tasks / activities will you use?

ABSORB THE DATA

DISCOVER PATTERNS

MAP ONTO DIMENSIONS

DRAW DIAGRAMS (e.g. MAPS)

THINK REFLEXIVELY

DEDUCTIVE RULES

HIGHLIGHTING / DOT VOTING

THOUGHT EXPERIMENTS

APPLY FRAMEWORK

AFFINITY SORT

ANALOGY, METAPHOR

COMPARE & CONTRAST

CHECK COGNITIVE BIASES

RETHINK THE PRODUCT

RANDOMNESS

EXTENSION

ROLE PLAY

PYRAMID > STORY

WORK WITH PATTERNS

WHO WERE THE PEOPLE

PRIORITISE

TRANSCRIBE

WATCH WHOLE RECORDINGS

CREATE A SPACE

COLLATE

CODE

HIGHLIGHT & NOTE

REFORMAT

TABLECLOTH

REVIEW TIMESTAMPS

PROTOTYPE

TOYBOX

RAINBOW TABLECLOTH

TRIADS

CO-ANALYSIS

Page 11: Research analysis: getting more from your data

Our core process

DAY 2Discover patterns

REVIEW OBJECTIVES

WHO WERE THE PEOPLE?

VISUALISE PATTERNS

AFFINITYSORT

LABEL THEMES

CLUSTER THEMES

DAY 3Work with patterns

THOUGHT EXPERIMENTS

PYRAMID > STORY

DAY 1Absorb the data

PRIORITISE

CREATE A SPACE

GENERATE POST-IT NOTES

Page 12: Research analysis: getting more from your data

DAY 1ABSORB THE DATA

Page 13: Research analysis: getting more from your data

ABSORB

THE DATA

Tables & walls to work on

Mixed media on walls

Plenty of standing space

2 sq m wall space for day 2

Visible to your colleagues

Natural light

NICE TO HAVE:

DAY 1, 9:00

CREATE A SPACE

Page 14: Research analysis: getting more from your data

DAY 1, 9:30

ABSORB

THE DATA

PRIORITISE

1. After each interview, give it a rating out of ten

2. Give a high rating if either a) the interview was very clear, and summarised matters well or b) it was confusing and contradictory

3. Timestamp key events

4. Make particularly good notes on those with lower ratings

1. Return to your interviews in order, from highest to lowest, until you’ve got an hour left

2. In your remaining hour, listen to at least five minutes of each of the other interviews, homing in on timestamps of most interest in your notes

While interviewing In analysis

Page 15: Research analysis: getting more from your data

ABSORB

THE DATA

Lots of time?

PRIORITISE

TRANSCRIBE

WATCH WHOLE RECORDINGS CREATE A SPACE

REMOVE BAD DATA

COLLATE

CODE

HIGHLIGHT & NOTE

REFORMAT TABLECLOTH

Very little time?

PRIORITISE

REMOVE BAD DATA

COLLATE

HIGHLIGHT & NOTE

REVIEW TIMESTAMPS

Middling amount of time?

PRIORITISE

TRANSCRIBE

CREATE A SPACE

REMOVE BAD DATA

COLLATE

HIGHLIGHT & NOTE

REFORMAT

REVIEW TIMESTAMPS

WATCH (SOME) RECORDINGS

DAY 1, 10:00

GENERATE POST-IT NOTES

Page 16: Research analysis: getting more from your data

DAY 1, 10:00

ABSORB

THE DATA

P doesn’t notice the Find My

Address button

P5

“Not being able to find the Find My Address button is driving me mad!”

P5

Find My Address button would be

easier to find if it was next to

postcode field

P5

GENERATE POST-IT NOTES

Observations Quotes Hypotheses

15:36-15:58 15:36-15:58 15:36-15:58

Page 17: Research analysis: getting more from your data

Have a go

ABSORB

THE DATA

Page 18: Research analysis: getting more from your data

How to cook a stir fry

Page 19: Research analysis: getting more from your data

Have a go

ABSORB

THE DATA

Identify themes, by highlighting phrases of interest and writing notes in the margin.

Page 20: Research analysis: getting more from your data

ABSORB

THE DATA

Need to feel on top of it

Losing control, chain reaction

i.e. not able to be carefree

Inhibits experimentation

P1

Page 21: Research analysis: getting more from your data

Identify themes, by highlighting phrases of interest and writing notes in the margin.

Have a goABSORB

THE DATA

What to highlight / make notes on

• State the obvious • Look for contradictions, triangulate • Focus on things that confuse you • Look for the emotional consequences • Pay attention to what didn’t happen too

Some tips

• Highlight emotions. What’s causing them?

• Highlight pain points. What’s causing them?

• Highlight the social context. Who’s present / not present / implied?

• Highlight their objectives. What are participants trying to achieve, and why?

Page 22: Research analysis: getting more from your data

ABSORB

THE DATA

“The smoke alarm can go

off, and it sets the dog off,

and it’s chaos”

P1

Needs to feel prepared & in

control

P1Unpreparedness = burning food = losing control = chain reaction

P1

If food was less prone to burn, would she be more likely to try new

ingredients?

P1Reluctant to experiment with new

ingredients

P1

Not able to relax (cf other kinds

of cooking)

P1

Quote Observation Observation

Hypothesis Observation Observation

Page 23: Research analysis: getting more from your data

DAY 2

DISCOVER

PATTERNS

VISUALISE PATTERNS

Page 24: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 9:00

REVIEW THE OBJECTIVES

Page 25: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 9.30

WHO WERE THE PEOPLE?

Page 26: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 10.30

VISUALISE PATTERNS

Page 27: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 13:00

AFFINITY SORT

Page 28: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 14:00

LABEL THEMES

Page 29: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 14:30

HIGHLIGHT OTHER THEMES

Page 30: Research analysis: getting more from your data

DISCOVER

PATTERNSDAY 2, 15:30

CLUSTER INTO THEMES

THEMES

META-THEMES

OBSERVATIONS*

* **

Page 31: Research analysis: getting more from your data

DAY 3

WORK W

ITH

PATTERNS

WORK WITH PATTERNS

Page 32: Research analysis: getting more from your data

WORK W

ITH

PATTERNSDAY 3, 9:00

THOUGHT EXPERIMENTS

• What if cooks didn’t have access to spatulas, what would they use instead and why?

• What would be missing if there was no sound whatsoever?

• What if cooks had someone to help them, what would that person be doing?

• What if cooks were able to build their kitchen specially to create this meal, what would it include / look like?

Page 33: Research analysis: getting more from your data

Can you come up with any other thought

experiments?

WORK W

ITH

PATTERNS

Page 34: Research analysis: getting more from your data

DISCOVER

PATTERNS

OBSERVATIONS

FINDINGS

THEMES

** *

*

DAY 3, 13:00

PYRAMID > STORY

Page 35: Research analysis: getting more from your data

WORK W

ITH

PATTERNSDAY 3, 13:00

PYRAMID > STORY

ETC

ANSWER (CONSISTING OF THEMES)

FINDING

*

EVIDENCE (e.g. VIDEO )

FINDING

OBJECTIVE THEMEONE

FINDING THEMETWO

Page 36: Research analysis: getting more from your data

DAY 2Discover patterns

REVIEW OBJECTIVES

WHO WERE THE PEOPLE?

VISUALISE PATTERNS

AFFINITYSORT

LABEL THEMES

CLUSTER THEMES

DAY 3Work with patterns

THOUGHT EXPERIMENTS

PYRAMID > STORY

DAY 1Absorb the data

CREATE A SPACE

GENERATE POST-IT NOTES

Insight IdeasStoryEvidence

Page 37: Research analysis: getting more from your data

A FEW BONUS TECHNIQUES

Page 38: Research analysis: getting more from your data

BONUS

TECHNIQUES

RAINBOW TABLECLOTH

• Create a ‘tablecloth’, i.e. a spreadsheet with your research questions in rows, and participants in columns

• Apply conditional formatting to the cells to highlight results

• Look for patterns!

Page 39: Research analysis: getting more from your data

BONUS

TECHNIQUES

TOYBOX

• Choose objects or toys to inform insights and ideation

• Get your colleagues to choose objects which they think are relevant to the topic, and explain why

• Or, use them for inspiration, e.g. projecting qualities of your chosen object onto the research topics (e.g. ‘what would be the difference between the way that Spiderman and a robot cooked a stir-fry?”

Page 40: Research analysis: getting more from your data

BONUS

TECHNIQUES

CO-ANALYSIS

• Ask users to explain / make sense of your data

• Hold as a workshop for added stakeholder engagement

• Don’t expect it to do all of your analysis for you!

Page 41: Research analysis: getting more from your data

James [email protected]

07787 425440

Thank you

London East Side Offices

King’s Cross StationLondon, N1C 4AXUnited Kingdom

Bristol 2 College Square

Anchor RoadBristol, BS1 5UEUnited Kingdom