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© 2014 ConceptSpring
Learn to do
Primary Market Research
Elaine Chen
September 2014
What, How, Who
• Define the WHAT:
– Clearly articulate hypotheses to be tested – these form
the core of your goals and objectives
• Define the HOW:
– Pick a methodology
– Develop content for the methodology (e.g. discussion
guide; survey design; etc)
– Develop a project plan (including who-does-what-when)
• Define the WHO:
– Define the profile of the subject
– Develop a subject recruitment questionnaire
“What”:
Hypothesis Formulation
Customer / Problem Related Hypotheses
4
Product / Solution related hypotheses
Business Model Hypotheses
6
Emails sent
Click through
Signed up for trial
Began using product
Converted to paid
subscriber
Free Beta
500
40%
80%
100%
N/A
30 day trial to paid subscription
5000
14%
1 subscriber
Example: Zeo Mobile
• Product: The Zeo Sleep Manager (Direct to
Consumer)
• Setting: 1st product is in market; contemplating
strategy for second product
• What hypotheses do you think we should test here?
Example: Baxter Robot
• Product: Collaborative manufacturing robot (B2B)
• Setting: Product architecture is defined; user persona
hypothesis validated; working on decision making unit
• What hypotheses do you think we should test here?
“How”:
Methodology Selection
Common methodologies
• Contextural interview
• Observation / shadowing
• Immersion
• Longitudinal diary study
• Photo essay
• Usability benchmark
• Focus groups
• … etc
• Qualitative (<30 samples) • Quantitative (>1000 samples)
• Surveys
– General interest
– Conjoint analysis
– Pricing studies
• Monadic
• Multiple monadic
• Van Westendorp
• … etc
– Customer satisfaction: NPS, P/M
fit
• Web testing
– A/B split, Multivariate
– Web analytics
– … etc
Qualitative versus quantitative
• Open ended: you are having a
conversation
• Anecdotal: you derive meaning
from each conversation
• Requires excellent listening and
observation skills
• Best done face to face (or at
least by video Skype or by
voice call)
• Best used for exploratory
research where you are trying
to get to know a problem or a
persona
• Qualitative (<50 samples) • Quantitative (>1000 samples)
• Close ended: you are
administering a questionnaire
• Statistical: you derive meaning
from looking at aggregate results
• Requires systematic analysis skills
• Best done via on-line survey (or,
in the olden days, via phone
survey)
• Best used for confirmation
research where you are trying to
verify / quantify what you think is
important
Qualitative, then quantitative
The qualitative pass helps you develop your quantitative pass and interpret the result with
context and meaning
“Who”:
Subject Recruitment
Example recruitment questionnaire
• What is your age, gender and profession? (terminate once age/gender
quota has been filled for the matching segment)
• What is your household income? (terminate if <$xxk)
• Are you interested in learning more about your sleep? (terminate if not)
• Are you currently encountering sleep problems? (terminate if not)
• Are you currently under the care of a doctor for your sleep issues?
(terminate if true)
• How many nights in an average week are you encountering sleep issues?
(select between 2-5)
• Please describe the sleep issues you are currently encountering (check all
that apply). (cannot fall asleep; multiple awakenings; cannot go back to
sleep after awakening; snoring spouse; etc)
• Do you currently share your bed? (partner, child, pet) If so: how many
nights in an average week is your sleep affected by your bed partner(s)?
Example recruitment quota
Interview skills workshop
Technique cheat sheet
• Clearly state hypotheses to test
• Establish rapport before you begin
• Ask short, open ended questions. “Tell me the story
of…”, “say more…”, “Why?” “Why not?”
• Let the subject lead the conversation
• Use active listening techniques: “I think I heard you
say xxx. Is that right?”
• Talk very little. Success = they talk 95% of the time,
you talk 5% of the time (most of which is during set up
and wrap up)
23
Simulation
Sharing!
On-line survey skills workshop
What makes a good on-line survey?
Technique cheat sheet
• Clearly define goals and objectives
• Ask effective questions to meet research goals
• Decide on length of survey (how many minutes?)
• Use skip logic judiciously to shorten completion time
• Be smart about answer formats
– Closed ended: radio buttons, checkboxes,
– Open ended: text boxes
• Carefully consider which q’s should be required
• Demographics and contact info at the end, please
• Carrots!
28
Simulation
Sharing!
Discussion
Thank you
@chenelaine blog.conceptspring.com

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Learn to do Primary Market Research: Interviews and Surveys

  • 1. © 2014 ConceptSpring Learn to do Primary Market Research Elaine Chen September 2014
  • 2. What, How, Who • Define the WHAT: – Clearly articulate hypotheses to be tested – these form the core of your goals and objectives • Define the HOW: – Pick a methodology – Develop content for the methodology (e.g. discussion guide; survey design; etc) – Develop a project plan (including who-does-what-when) • Define the WHO: – Define the profile of the subject – Develop a subject recruitment questionnaire
  • 4. Customer / Problem Related Hypotheses 4
  • 5. Product / Solution related hypotheses
  • 6. Business Model Hypotheses 6 Emails sent Click through Signed up for trial Began using product Converted to paid subscriber Free Beta 500 40% 80% 100% N/A 30 day trial to paid subscription 5000 14% 1 subscriber
  • 7. Example: Zeo Mobile • Product: The Zeo Sleep Manager (Direct to Consumer) • Setting: 1st product is in market; contemplating strategy for second product • What hypotheses do you think we should test here?
  • 8. Example: Baxter Robot • Product: Collaborative manufacturing robot (B2B) • Setting: Product architecture is defined; user persona hypothesis validated; working on decision making unit • What hypotheses do you think we should test here?
  • 10. Common methodologies • Contextural interview • Observation / shadowing • Immersion • Longitudinal diary study • Photo essay • Usability benchmark • Focus groups • … etc • Qualitative (<30 samples) • Quantitative (>1000 samples) • Surveys – General interest – Conjoint analysis – Pricing studies • Monadic • Multiple monadic • Van Westendorp • … etc – Customer satisfaction: NPS, P/M fit • Web testing – A/B split, Multivariate – Web analytics – … etc
  • 11. Qualitative versus quantitative • Open ended: you are having a conversation • Anecdotal: you derive meaning from each conversation • Requires excellent listening and observation skills • Best done face to face (or at least by video Skype or by voice call) • Best used for exploratory research where you are trying to get to know a problem or a persona • Qualitative (<50 samples) • Quantitative (>1000 samples) • Close ended: you are administering a questionnaire • Statistical: you derive meaning from looking at aggregate results • Requires systematic analysis skills • Best done via on-line survey (or, in the olden days, via phone survey) • Best used for confirmation research where you are trying to verify / quantify what you think is important
  • 12. Qualitative, then quantitative The qualitative pass helps you develop your quantitative pass and interpret the result with context and meaning
  • 14. Example recruitment questionnaire • What is your age, gender and profession? (terminate once age/gender quota has been filled for the matching segment) • What is your household income? (terminate if <$xxk) • Are you interested in learning more about your sleep? (terminate if not) • Are you currently encountering sleep problems? (terminate if not) • Are you currently under the care of a doctor for your sleep issues? (terminate if true) • How many nights in an average week are you encountering sleep issues? (select between 2-5) • Please describe the sleep issues you are currently encountering (check all that apply). (cannot fall asleep; multiple awakenings; cannot go back to sleep after awakening; snoring spouse; etc) • Do you currently share your bed? (partner, child, pet) If so: how many nights in an average week is your sleep affected by your bed partner(s)?
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  • 23. Technique cheat sheet • Clearly state hypotheses to test • Establish rapport before you begin • Ask short, open ended questions. “Tell me the story of…”, “say more…”, “Why?” “Why not?” • Let the subject lead the conversation • Use active listening techniques: “I think I heard you say xxx. Is that right?” • Talk very little. Success = they talk 95% of the time, you talk 5% of the time (most of which is during set up and wrap up) 23
  • 27. What makes a good on-line survey?
  • 28. Technique cheat sheet • Clearly define goals and objectives • Ask effective questions to meet research goals • Decide on length of survey (how many minutes?) • Use skip logic judiciously to shorten completion time • Be smart about answer formats – Closed ended: radio buttons, checkboxes, – Open ended: text boxes • Carefully consider which q’s should be required • Demographics and contact info at the end, please • Carrots! 28

Notes de l'éditeur

  1. Write in responses in your question boxes
  2. Write in responses in your question boxes
  3. Write in responses in your question boxes
  4. Write in responses in your question boxes
  5. Write in responses in your question boxes
  6. Write in responses in your question boxes