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Dawn of the Data Age Lecture Series
Interpreting Data Like a Pro
Hi. I’m Luciano Pesci…
Founder & CEO, EMPERITAS
● Team of economists and data scientists delivering bi-weekly Customer Lifetime Value
intelligence so our clients can beat their competitors for the best customers.
Founder & Director, Utah Community Research Group, Univ. of Utah
● Teach microeconomics, data science, applied research, & American economic history.
2
Today’s Lecture Outline
● Teach you an agile customer research design.
● Show you qualitative & quantitative research best practices.
● Explain how to use the research to achieve your product vision.
3
4Agile Research Design
The 30k Foot View
● The agile customer research covered
today is part of a larger process:
○ Think Broad. Mine Deep. Explain Simply.
● It needs to be highly systematized.
○ Steps, Stages, & Milestones.
○ DRIs & Deadlines.
○ Meticulous file organization.
5
EXECUTION
Data Collection
Think Broad. Mine Deep. Explain Simply.*
6
ROADMAP
SMART Goals
ANALYSIS
Extracting Insights
REPORTING
Telling a Story
*Storytelling With Data: youtu.be/syjNCvGKPpQ
Today’s lecture focuses here.
Stages & Milestones
● The execution step of agile customer research can be divided into
two stages with their own milestones (based on tasks):
○ Qualitative Research
■ Secondary Research
■ Expert Interviews
■ Customer Conversations
○ Quantitative Research
■ Programming Survey
■ Pretest & Soft-Launch
■ Data Collection
7
8
Program
Survey
Pretest &
Soft-Launch
Data
Collection
Secondary
Research
Expert
Interviews
Customer
Conversations
Two Research Stages*
QUALITATIVE QUANTITATIVE
Each of the research stages can be done in a week, but the milestones are
unequal. Customer conversations & data collection take the most time & effort.
*Sizes of each milestone indicates relative difficulty.
DRIs & Deadlines
● “If it’s everyone's job, it’s no one’s job.”*
● Assign a Directly Responsible Individual (DRI)
to each milestone/task and set hard
deadlines that are visible and enforced.
○ With these details you can create a research Gantt.
9
*Craig Freshley, “Everyone’s Job”: youtu.be/uXFDYAv40wg
Visualizing Agile Research Sprint
10
*Monthly Research Sprint Gantt: goo.gl/r4FPhq
PSA: File Organization
You’ll produce a large volume &
variety of files. A system is needed:
○ Foldering & subfoldering
○ Lexicon of critical terms
○ File naming convention
○ Access management rules
11
The 30 Second Rule
● The standard for organizing your
research related files is this:
○ If you can’t find something in 30 seconds
of searching you aren’t organized.
12
13Qual & Quant Milestones
Secondary Research
● There’s a mountain of existing public
knowledge to help your research.
● Focus your attention on learning:
○ Market trends including your competitor’s
product, price, messaging, & channel mix
○ Customer chatter (reviews, social, etc)
○ Similar research that’s been done in the past
14
*Product Manager Secondary Research Sources: goo.gl/CY53fg
Expert Interviews
● It’s possible to greatly accelerate your
own knowledge by interviewing experts.
○ Some charge a fee (it’s usually worth it).
● Should be no more than 30-mins long and
narrowly focused on their niche expertise.
○ Ask if you can record it, talk about what you
discovered from your secondary research.
15
Customer Conversations*
● This should be a natural conversation
between two humans, not a survey.
● Prepare topics & questions, but probe
and be willing to go off script.**
○ A $50 incentive helps participation rates.
○ Solicitation takes a lot of time.
16
*Customer Conversations (00:09:05): youtu.be/CO_JlBDZgNs
**Product Manager Conversation Script: goo.gl/69YWVw
Programming The Survey*
● Surveys are a powerful tool for
generating custom quantitative data.
● Tools like Qualtrics** allow you to
personalize the survey experience.
○ This produces more (and better quality)
customer research data.
17
*Step Up Your Survey Research: youtu.be/WuBenXuVzqc
**Qualtrics Product Manager Survey: goo.gl/PExkms
Pretest & Soft-Launch
● NEVER send an untested survey to customers!
● Pretest the survey internally. When you “think”
it’s ready soft-launch to 20-30 customers.
○ Monitor the data and watch for issues, make
adjustments then fully launch the survey.
18
Data Collection (Fieldwork)
● With a good survey and a sufficient
customer list, you should be able to
collect data in a matter of days.
● Keep monitoring the survey for issues:
○ Read open-ended responses
○ Validate data coding is correct
○ Track time to complete & question drops
19
Another Way To Look At It
● With survey data in hand, the execution step
of the agile customer research process ends.
● More details about each of the qual & quant
milestones are laid out in my recent article.*
20
*Agile Customer Research For PMs: goo.gl/CCeZpb
21Research-Driven Product Vision
Returning To Your SMART Goals
● Pause before diving into analysis.
● Revisit your SMART goals from
the earlier roadmap step of the
agile customer research process.
○ Analysis needs to answer your hypotheses.
22
*SMART Goals (00:01:15): youtu.be/VqMCK7Whyd4
Analytics Treasure Map
● The next step in the agile customer research
process is mining deeply with analytics.*
● “Mining” implies there’s value to be found in your
data. An analytics treasure map helps you find
evidence to answer your hypotheses.*
23
*Product Manager Analytics Treasure Map: goo.gl/p8XD9c
Storytelling With Data
● Explaining simply is the final step of
the agile customer research process.
● If you don’t get this step right all of
your hard work will be wasted!
○ You need a story and lots of visuals.*
24
*Visualizing Complex Data (00:08:50): youtu.be/JH-MCo-Xh5g
Next Step is Action
● With answers to your original
hypotheses, you’re ready to act.
○ What you’ll do with the answers was
also outlined in the SMART goals.
● Iterative waves of research will give
confidence for larger decisions.
25
26Summing Up
What We Covered Today...
● The agile customer research design.
● Qualitative & quantitative research best practices.
● Using research to achieve your product vision.
27
Thursday March 15th, 2018
emperitas.com/lecture

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Interpreting Data Like a Pro Lecture

  • 1. Dawn of the Data Age Lecture Series Interpreting Data Like a Pro
  • 2. Hi. I’m Luciano Pesci… Founder & CEO, EMPERITAS ● Team of economists and data scientists delivering bi-weekly Customer Lifetime Value intelligence so our clients can beat their competitors for the best customers. Founder & Director, Utah Community Research Group, Univ. of Utah ● Teach microeconomics, data science, applied research, & American economic history. 2
  • 3. Today’s Lecture Outline ● Teach you an agile customer research design. ● Show you qualitative & quantitative research best practices. ● Explain how to use the research to achieve your product vision. 3
  • 5. The 30k Foot View ● The agile customer research covered today is part of a larger process: ○ Think Broad. Mine Deep. Explain Simply. ● It needs to be highly systematized. ○ Steps, Stages, & Milestones. ○ DRIs & Deadlines. ○ Meticulous file organization. 5
  • 6. EXECUTION Data Collection Think Broad. Mine Deep. Explain Simply.* 6 ROADMAP SMART Goals ANALYSIS Extracting Insights REPORTING Telling a Story *Storytelling With Data: youtu.be/syjNCvGKPpQ Today’s lecture focuses here.
  • 7. Stages & Milestones ● The execution step of agile customer research can be divided into two stages with their own milestones (based on tasks): ○ Qualitative Research ■ Secondary Research ■ Expert Interviews ■ Customer Conversations ○ Quantitative Research ■ Programming Survey ■ Pretest & Soft-Launch ■ Data Collection 7
  • 8. 8 Program Survey Pretest & Soft-Launch Data Collection Secondary Research Expert Interviews Customer Conversations Two Research Stages* QUALITATIVE QUANTITATIVE Each of the research stages can be done in a week, but the milestones are unequal. Customer conversations & data collection take the most time & effort. *Sizes of each milestone indicates relative difficulty.
  • 9. DRIs & Deadlines ● “If it’s everyone's job, it’s no one’s job.”* ● Assign a Directly Responsible Individual (DRI) to each milestone/task and set hard deadlines that are visible and enforced. ○ With these details you can create a research Gantt. 9 *Craig Freshley, “Everyone’s Job”: youtu.be/uXFDYAv40wg
  • 10. Visualizing Agile Research Sprint 10 *Monthly Research Sprint Gantt: goo.gl/r4FPhq
  • 11. PSA: File Organization You’ll produce a large volume & variety of files. A system is needed: ○ Foldering & subfoldering ○ Lexicon of critical terms ○ File naming convention ○ Access management rules 11
  • 12. The 30 Second Rule ● The standard for organizing your research related files is this: ○ If you can’t find something in 30 seconds of searching you aren’t organized. 12
  • 13. 13Qual & Quant Milestones
  • 14. Secondary Research ● There’s a mountain of existing public knowledge to help your research. ● Focus your attention on learning: ○ Market trends including your competitor’s product, price, messaging, & channel mix ○ Customer chatter (reviews, social, etc) ○ Similar research that’s been done in the past 14 *Product Manager Secondary Research Sources: goo.gl/CY53fg
  • 15. Expert Interviews ● It’s possible to greatly accelerate your own knowledge by interviewing experts. ○ Some charge a fee (it’s usually worth it). ● Should be no more than 30-mins long and narrowly focused on their niche expertise. ○ Ask if you can record it, talk about what you discovered from your secondary research. 15
  • 16. Customer Conversations* ● This should be a natural conversation between two humans, not a survey. ● Prepare topics & questions, but probe and be willing to go off script.** ○ A $50 incentive helps participation rates. ○ Solicitation takes a lot of time. 16 *Customer Conversations (00:09:05): youtu.be/CO_JlBDZgNs **Product Manager Conversation Script: goo.gl/69YWVw
  • 17. Programming The Survey* ● Surveys are a powerful tool for generating custom quantitative data. ● Tools like Qualtrics** allow you to personalize the survey experience. ○ This produces more (and better quality) customer research data. 17 *Step Up Your Survey Research: youtu.be/WuBenXuVzqc **Qualtrics Product Manager Survey: goo.gl/PExkms
  • 18. Pretest & Soft-Launch ● NEVER send an untested survey to customers! ● Pretest the survey internally. When you “think” it’s ready soft-launch to 20-30 customers. ○ Monitor the data and watch for issues, make adjustments then fully launch the survey. 18
  • 19. Data Collection (Fieldwork) ● With a good survey and a sufficient customer list, you should be able to collect data in a matter of days. ● Keep monitoring the survey for issues: ○ Read open-ended responses ○ Validate data coding is correct ○ Track time to complete & question drops 19
  • 20. Another Way To Look At It ● With survey data in hand, the execution step of the agile customer research process ends. ● More details about each of the qual & quant milestones are laid out in my recent article.* 20 *Agile Customer Research For PMs: goo.gl/CCeZpb
  • 22. Returning To Your SMART Goals ● Pause before diving into analysis. ● Revisit your SMART goals from the earlier roadmap step of the agile customer research process. ○ Analysis needs to answer your hypotheses. 22 *SMART Goals (00:01:15): youtu.be/VqMCK7Whyd4
  • 23. Analytics Treasure Map ● The next step in the agile customer research process is mining deeply with analytics.* ● “Mining” implies there’s value to be found in your data. An analytics treasure map helps you find evidence to answer your hypotheses.* 23 *Product Manager Analytics Treasure Map: goo.gl/p8XD9c
  • 24. Storytelling With Data ● Explaining simply is the final step of the agile customer research process. ● If you don’t get this step right all of your hard work will be wasted! ○ You need a story and lots of visuals.* 24 *Visualizing Complex Data (00:08:50): youtu.be/JH-MCo-Xh5g
  • 25. Next Step is Action ● With answers to your original hypotheses, you’re ready to act. ○ What you’ll do with the answers was also outlined in the SMART goals. ● Iterative waves of research will give confidence for larger decisions. 25
  • 27. What We Covered Today... ● The agile customer research design. ● Qualitative & quantitative research best practices. ● Using research to achieve your product vision. 27
  • 28. Thursday March 15th, 2018 emperitas.com/lecture