We seek evidence that helps us decide on the direction we will take. There is a saying "if all we have are opinions, let's use mine... but if we have data, let's use that". CareerPlug aspires to be data-influenced in all product decisions. We are the engine that powers that influence.
Expectations / Description
Our ONE number
- TBD
Constellation measures of success
- Quantitative evidence plays a vital part in product solution design
- Value Shapers agree "We used data to help shape the best solution possible"
- Insights are uncovered that helps better support our customers
- Client/Partner-facing teams (Partner Management, Hiring Expert (Customer Support and Consultation), and Implementation (Professional Services)) agree "Data helped me serve our clients/partners better"
- All Pluggies agree "Product has easy to understand, and clearly impactful metrics... they inspire excitement and provide clarity into the impact of the work Product does"
Details in Guru
Curious to see an example of how strategy => discovery => shaping => learning could work? Here is an example of how to organize Continuous Value Delivery.
Requirements
- Data Analyst's must have a position with the reach of 1.1 or higher
- Data Analyst's must be milestone 2+,Data analysis / synthesis
- Data Analyst's must be milestone 2+,Communication
- Data Analyst's must be milestone 2+,Collaboration
Configuration Health
- ✅ Has 3 Abilities
- ✅ Is a part of 12 Positions
- ✅ Has been referenced in 1 piece of public recognition
- ℹ️ No one has reacted to this Assignment
- ℹ️ No one has an official rating on this Assignment
- ⛔️ Last updated: over 1 year ago
- ℹ️ Never conversed about
Examples / Observations
Observation created about 3 years agohttps://careerplug.slack.com/archives/C01SG5UDH7E/p1660753177339599
“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”
― Jim BarksdaleWithout data, you're just another person with an opinion.
― Deming
I love it when these quotes show up as true in daily product work!
Engage was debating whether or not the next iteration should include the ability to modify the job title. Then AW came swooping in with amazing data to help answer the question!
I did a little more digging on the usage for adding job title: It looks like about 55% of users are adding job title after creating a new user. Perhaps because it’s at the top of the current Add New User form and maybe they think it’s a required field. Only ~9% of users are editing the job title when editing an existing user. This is making me feel less strongly that this is something to worry about now.
She offered both sides of the argument giving reasons along the way. This is collaboration. This is the way to use data for decision making.
Official Data Analysts
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Teams needing a Data Analyst
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Positions that reference being a Data Analyst
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Conversations about Data Analyst
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