31. Business Problem
What are the leading factors stopping us from hiring the best engineers in the world?
Hypothesis
1. We’re not known enough as a relevant place to work for top engineers.
2. We don’t have a compelling enough proposition to create affinity and desire.
3. We’re not creating an experience that reassures and excites engineers enough to join
us.
Independent variables
Number of engineers applying for
roles
Quality of engineers applying for
roles
Number of quality engineers
accepting a role
Dependent variables
Reputation
1. Familiarity
2. Perception
Proposition
1. Relevance
2. Competitiveness
Experience
1. Happiness
2. Acceptance rate
Volume of applicants Percentage of valued apps Time to hire
Data for Hypothesis 1. Data for Hypothesis 2. Data for Hypothesis 3.
1. Reach / share of market
2. Branded job search volume
3. New vs Returning visitors
1. Screened ratio
2. Hiring manager NPS
3. Talent list/pool growth
Data proving/disproving H1 Data proving/disproving H2 Data proving/disproving H3
1. Candidate NPS
2. Drop off rate
3. Employee referrals
1. Glassdoor rating
Further Indicators & signals
1. # of Employee advocates 1. Engagement survey scores
Get leaders to take
notice of what you
want to do by
addressing a
specific problem
they already have.
BUSINESS
CASE
BLUEPRINT
32. Business Problem
What are the leading factors stopping us from hiring the best engineers in the world?
Hypothesis
1. We’re not known enough as a relevant place to work for top engineers.
2. We don’t have a compelling enough proposition to create affinity and desire.
3. We’re not creating an experience that reassures and excites engineers enough to join
us.
Independent variables
Number of engineers applying for
roles
Quality of engineers applying for
roles
Number of quality engineers
accepting a role
Dependent variables
Reputation
1. Familiarity
2. Perception
Proposition
1. Relevance
2. Competitiveness
Experience
1. Happiness
2. Acceptance rate
Volume of applicants Percentage of valued apps Time to hire
Data for Hypothesis 1. Data for Hypothesis 2. Data for Hypothesis 3.
1. Reach / share of market
2. Branded job search volume
3. New vs Returning visitors
1. Screened ratio
2. Hiring manager NPS
3. Talent list/pool growth
Data proving/disproving H1 Data proving/disproving H2 Data proving/disproving H3
1. Candidate NPS
2. Drop off rate
3. Employee referrals
1. Glassdoor rating
Further Indicators & signals
1. # of Employee advocates 1. Engagement survey scores
Get leaders to take
notice of what you
want to do by
addressing a
specific problem
they already have.
BUSINESS
CASE
BLUEPRINT