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A CUP OF T
Extracting Insights from Research
RP Kumar :: March 4 2013
The Planner’s Dilemma, Circa 1990
“WHERE IS
THE DATA
FROM WHERE
I CAN DRAW
INSIGHTS?”
The Planner’s Dilemma, Circa 2010
“THERE’S JUST
TOO MUCH DATA!
WHAT DO I DO?
WHERE DO I
START?”
Introducing the 4T Model
Extracting Insights from Research
TRIAGE TRENDS TENSIONS TALES
1. Triage = Organizing The Data
Clearly Useful: “Clean”
data, that either provides
surprising or new
information OR clearly
supports or refutes your
hypotheses
Looks Promising:
partially proves or
disproves
hypotheses OR
opens up the door to
further investigation
Not Useful: irrelevant
to our challenge, “nice
to know”, not
actionable, tells us
what everyone already
knows
2. Trends = Looking for Patterns
Step 1: Assimilation
• At this stage, resist the temptation to dive
into the data
• Don’t look at the data directly…look across
the data
2. Trends = Looking for Patterns
Step 2: Connecting the Dots
Think of data not as a series of
static snapshots, but as a movie.
2. Trends = Looking for Patterns
Step 2: Connecting the Dots
• Heuristic Rule: when creating trends, look across at least
three data points (in most cases you will need more)
• Latitudinal Trends:
– Same data point across time or across geography or across
segments
– Example: Sales of Budweiser Beer across months, across
regions, across Millennials and Gen X
• Longitudinal Trends:
– Keeping time /geography/segment constant, examine different
data points that pertain to our challenge
– Example: Sales of different brands of beers in NYC on New
Year’s Eve among Millennials
3. Tensions = Looking for Interplay of Trends
Do the trends
reinforce each
other?
Do the trends
contradict each
other?
Do the trends
qualify each
other?
Each of these interplays tells a tale…
4. Tales = Telling The Story
Harness the tensions; use them to tell
compelling stories
Introducing the 4T Model
Extracting Insights from Research
TRIAGE TRENDS TENSIONS TALES

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RP Kumar's 4T Model

  • 1. A CUP OF T Extracting Insights from Research RP Kumar :: March 4 2013
  • 2. The Planner’s Dilemma, Circa 1990 “WHERE IS THE DATA FROM WHERE I CAN DRAW INSIGHTS?”
  • 3. The Planner’s Dilemma, Circa 2010 “THERE’S JUST TOO MUCH DATA! WHAT DO I DO? WHERE DO I START?”
  • 4. Introducing the 4T Model Extracting Insights from Research TRIAGE TRENDS TENSIONS TALES
  • 5. 1. Triage = Organizing The Data Clearly Useful: “Clean” data, that either provides surprising or new information OR clearly supports or refutes your hypotheses Looks Promising: partially proves or disproves hypotheses OR opens up the door to further investigation Not Useful: irrelevant to our challenge, “nice to know”, not actionable, tells us what everyone already knows
  • 6. 2. Trends = Looking for Patterns Step 1: Assimilation • At this stage, resist the temptation to dive into the data • Don’t look at the data directly…look across the data
  • 7. 2. Trends = Looking for Patterns Step 2: Connecting the Dots Think of data not as a series of static snapshots, but as a movie.
  • 8. 2. Trends = Looking for Patterns Step 2: Connecting the Dots • Heuristic Rule: when creating trends, look across at least three data points (in most cases you will need more) • Latitudinal Trends: – Same data point across time or across geography or across segments – Example: Sales of Budweiser Beer across months, across regions, across Millennials and Gen X • Longitudinal Trends: – Keeping time /geography/segment constant, examine different data points that pertain to our challenge – Example: Sales of different brands of beers in NYC on New Year’s Eve among Millennials
  • 9. 3. Tensions = Looking for Interplay of Trends Do the trends reinforce each other? Do the trends contradict each other? Do the trends qualify each other? Each of these interplays tells a tale…
  • 10. 4. Tales = Telling The Story Harness the tensions; use them to tell compelling stories
  • 11. Introducing the 4T Model Extracting Insights from Research TRIAGE TRENDS TENSIONS TALES