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Mood Meter
A Real-Time Satisfaction Meter
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ANIA RODRIGUEZ
CEO & FOUNDER
JONATHAN KNOPF
SENIOR RESEARCHER
RICK DAMASO
RESEARCH SPECIALIST
THE PRESENTERS

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A Quick Story…

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TIME FOR A LITTLE
EXPERIMENT!

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WE ARE GOING TO SHOW YOU SOME IMAGES
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AFTER EACH IMAGE,
RATE YOUR EXPERIENCE ON A SCALE OF 1-7

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Ready?

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On a scale of 1-7,
How would you rate the experience?
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8 PRIMARY
EMOTIONS

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CHANGES IN EMOTION OCCUR
THROUGHOUT A TASK.
HOW DO WE MEASURE THOSE CHANGES?

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WHAT WE HOPE FOR…

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WHAT WE GET…

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POSITIVES AND NEGATIVES
Concurrent
Think Aloud
Protocol
(CTAP)
• Thoughts are fresh in
memory
• Ties emotions to an action
• Can be intrusive
• Requires user articulation
• Difficult to quantify
• Uninterrupted
• Better task time accuracy
• Memory decay
• Fabrication
• Misses in-task emotional
changes
Retrospective
Think Aloud Protocol
(RTAP)

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THE CHALLENGE
• Simple
• Minimally intrusive, captures non-verbal
• Quick quantification for large N
• Not repetitive
• Easily shareable
• Affordable

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TACTICAL REQUIREMENTS
• Positive or Negative input
• Tallies the overall Mood in real-time
• Audible and visual cue for auto-tagging
• Software solution
• Easy to view ‘Mood Swings’

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MOOD METER METHOD (PATENT PENDING)
✔ Allows for a Positive or Negative input
✔ Tallies the Mood in real-time
✔ Gives a rewarding audio and visual cue
✔ Software solution
✔ Easy to review results
✔ Affordable
✔
✔
✔

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CASE STUDY - SMARTPHONES
• Find clues why someone would return the device within the
first 14 days of purchase.
• Examine the following:
– Packaging
– Marketing
– Instructions
– Hardware
– Software

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Research Strategy
• In lab: Out of Box Experience (OOBE)
• At home: 30 Day Mobile Ethnography

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OOBE
• In Depth Interviews (IDIs)
• Mood Meter
• User Performance Metrics (UPMs)
• A/B Comparisons
• System Usability Scale (SUS)

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MOOD METER METHOD (PATENT PENDING)
• Click if something
validates your purchase
• Click if something makes
you more inclined to return it

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MOOD METER - ASSUMPTIONS
Participants will assume:
• Recently purchased the device
• Receiving the package at home
• Can press +/- more than once
*Starting point is 10. Not this…

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MOOD METER OBSERVATIONS
• Mood Swing (ΔMu)
• Mood Swing Severity (+ΔMu / -ΔMu)
• Recovery Time (ΔT)
• Mood Swing Impact (ΔMu1+ΔMu2+ΔMu3)

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IDENTIFYING MOOD SWINGS IN-TASK
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Starting Point Action 1 Action 2 Action 3 Action 4 Action 5 Action 6 Action 7 Action 8
MOODSCORE
IN-TASK ACTIONS
User Type 1
User Type 2
User Type 3
Average
Recovery Time

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IDENTIFYING NEGATIVE MOOD SWINGS
ΔM1 ΔM2 ΔM3 ΔM4 ΔM5 ΔM6 ΔM7 ΔM8
Persona 1 1.90 -0.12 2.22 -2.10 -0.35 -3.21 4.30 1.03
Persona 2 3.00 0.00 0.44 -0.78 -1.07 -3.16 1.68 2.60
Persona 3 5.67 -3.00 2.33 -5.57 -0.43 1.80 1.20 3.17
Low Severity: 0 < ΔM < -2.00
High Severity: ΔM <= -2.00

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MOOD SWING IMPACT
Persona 1 Persona 2 Persona 3 Impact Score
ΔM4 -2.10 -0.78 -5.57 -8.45
ΔM6 -3.21 -3.16 1.80 -4.57
ΔM2 -0.12 0.00 -3.00 -3.12
ΔM5 -0.35 -1.07 -0.43 -1.85
ΔM3 2.22 0.44 2.33 5.00
ΔM8 1.03 2.60 3.17 6.80
ΔM7 4.30 1.68 1.20 7.18
ΔM1 1.90 3.00 5.67 10.57

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CHALLENGES & ALTERNATIVES
• Still requires the user to change focus away from the task.
• Requires a smartphone
• Alternative methods used to minimize interruption:
– Eyetracking
– Brainwave
– Facial recognition

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QUESTIONS & ANSWERS

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THANK YOU!