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Page 1: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Anirudha Joshi

IDC, IIT Bombay

Page 2: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Contextual Inquiry

Work Models

Interpreting Interviews

Affinity Diagram

Consolidation of Work Models

Work Redesign

User Environment Design

Mock up and test with users

Page 3: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Go where the user works

Observe the user as he works

Talk to the user about the work

Page 4: Anirudha Joshi IDC, IIT Bombay - GitHub Pages
Page 5: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Scientist / subject model

Parent / child model

Teacher / student model

Page 6: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Page 7: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Scientist / subject model

Parent / child model

Teacher / student model

Master / apprentice model

Relationship models have two sides

Page 8: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Master apprentice model

Page 9: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

When you are watching the work happen, pre-planned teaching

is not required

Master need not remember his work explicitly

Page 10: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Seeing the work reveals structure

Apprenticeship suggests an attitude of inquiry and learning

Page 11: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Contextual Inquiry is apprenticeship compressed in time

Contextual Inquiry tailors apprenticeship to the needs of design

teams

Page 12: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Master apprentice model

Context

Page 13: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Go where the work is to get the best data

Page 14: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Go where the work is to get the best data

Gather ongoing experience rather than summary

Gather concrete data rather than abstract data

Span time by retrospective accounts

Page 15: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Avoid summary data by watching the work unfold

Page 16: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Avoid summary data by watching the work unfold

Page 17: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Page 18: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Start with real experiences, not abstractions

Indicators of abstraction in interviews

Page 19: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Sometimes you need to understand things that happened in the

past

Span time by replaying past events in detail

Page 20: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Span time by replaying past events in detail

(CD 49-50)

Page 21: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Span time by replaying past events in detail

Page 22: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Master apprentice model

Context

Partnership

Page 23: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Traditionally, interviewer has too much power

Apprenticeship model tilts power back to the user

Interviewer should create a partnership, not just an

apprenticeship

Page 24: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Traditionally, interviewer has too much power

Apprenticeship model tilts power back to the user

Interviewer should create a partnership than just an

apprenticeship

(CD 52)

Page 25: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Let the user get an understanding of what you are looking for

People interrupt themselves to reveal insights and design ideas,

answer unasked questions

People haven't had others pay so much attention to them

Page 26: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Interviewer / Interviewee

Page 27: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Interviewer / Interviewee

Expert / Novice

Page 28: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Interviewer / Interviewee

Expert / Novice

Guest / Host

Page 29: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

1. Master apprentice model

2. Context

3. Partnership

4.

Page 30: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Page 31: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Page 32: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Interpretation is assignment of meaning to observation

Good facts are only starting points

Page 33: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Fact: the observable event

Hypothesis: an initial interpretation of meaning or intent

Implication for design

Design idea is realization of implication

Page 34: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Interpretation is assignment of meaning to observation

Good facts are only starting points

Fact Hypothesis Implication Design idea

Design is built upon interpretation of facts

Share interpretations with users to validate

Page 35: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Instead of asking open ended questions…

… give users a starting point

Users fine-tune interpretations

Page 36: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Non-verbal clues confirm or negate interpretations

Yes and No

Commit to hearing what the user is actually saying

Page 37: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

Master apprentice model

Context

Partnership

Interpretation

Page 38: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

don’t think of elephants

Page 39: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

App so that customers can shop for groceries at a kirana store

Billing system for kirana shops

Furniture for kirana shops

Packaging design for sanitary napkins

… and note your observations from the picture that follows…

Page 40: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Page 41: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Focus lets the interviewer sees more

Focus guides the interview

Page 42: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Focus reveals detail, but

Focus conceals the unexpected

Trick – start with a focus and then expand

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© IDC, IIT Bombay

Surprises, contradictions, idiosyncrasies

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© IDC, IIT Bombay

Surprises, contradictions, idiosyncrasies

Nods

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© IDC, IIT Bombay

Surprises, contradictions, idiosyncrasies

Nods

What you don’t know

Page 46: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

© IDC, IIT Bombay

Start with an explicit focus for a CI

Commit to challenging your initial assumptions

Page 47: Anirudha Joshi IDC, IIT Bombay - GitHub Pages

1. Master apprentice model

2. Context

3. Partnership

4. Interpretation

5. Focus

Page 48: Anirudha Joshi IDC, IIT Bombay - GitHub Pages