Lessonly

• Product & Engineering

   Assignments:

  Business intelligence analyst

  We are obsessed with the intersection between product usage metrics (such as weekly active usage) and business metrics (such as renewal cycles). Our prime objective is to identify quantitative evidence that will help CX, services, support, and product make better decisions about how each of them serves our customers

  Full Description

  Key Result(s)

  • Quantitative evidence plays a vital part in opportunity prioritization
    • ... as measured by qualitative feedback from the Opportunity Shapers
  • Insights are uncovered that helps better support our customers
    • ... as measured by qualitative feedback from the post-sales customer-facing teams (Account Management, Customer Support, Professional Services, and Customer Implementation)
  • The bi-weekly metrics all-hands has easy to understand, and clearly impactful metrics that Product can share with the rest of the organization to inspire excitement and provide clarity into the impact of the work

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  Details

  Things you might deliver/do

  • We are responsible for understanding how Salesforce data, when blended with Product-usage data, impacts our ability to better understand and potentially even predict the business outcomes
  • We are responsible for doing the exploration needed to empower CX to make even better recommendations to customers about their training program effectiveness
    • Helping CX uncover patterns in how the best-performing programs function so that they can help their customers better.
  • We may partner with operations on deciding on and maintaining the business intelligence tooling (think Tableau or other BO tools)

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  • If the data does not exist that we need to be able to answer a question, you are relied on to help prioritize modifying the platform to allow for the data to be captured, or captured in the proper format.

  Illustrations

  • This excerpt from the book Inspired is a well-written summation of the expectations and value of this role:
    • 

  Requirements

  • Must have a position with the reach of 1.2 or higher
  • For this role, you must be milestone 1 or greater inData
  • For this role, it is recommended to be milestone 1 or greater inProduct Knowledge
  • For this role, you must be milestone 1 or greater inBusiness and Technical Translation
  • For this role, it is recommended to be milestone 1 or greater inStakeholder / Feedback Management

  Examples

    Observation created over 5 years ago

  Featuring:Alec R.We highlight what's workingBusiness intelligence analyst

  hjkhkj

    Observation created about 6 years ago

  Featuring:Justin K.Business intelligence analyst

  https://lessonly.slack.com/archives/C047M50C0/p1568211454034800

  LOVE THIS!

  Unexpected, but valuable. Keeping the most important thing, the most important thing. Which is...

  Are we allowing people to do better work with the things we build.

  Usage is a leading indicator to this.

  Thanks Justin!

  Product engagement analyst

  We are obsessed with product usage metrics because they are the leading indicators of how successful our squad, software, and the company are.

  We believe the influence of data is critical in nearly all decisions, from how successful a feature is... how successful a campaign is... how successful a type of customer is … how successful a launch is.

  Full Description

  We believe the influence of data is critical in nearly all decisions, from how successful a feature is... how successful a campaign is... how successful a type of customer is … how successful a launch is.

  Success looks like:

  • Quantitative evidence plays a vital part in product solution design
    • ... as measured by qualitative feedback from Solution Designers
  • Insights are uncovered that helps better support our customers
    • ... as measured by qualitative feedback from the post-sales customer-facing teams (Account Management, Customer Support, Professional Services, and Customer Implementation)
  • The bi-weekly metrics all-hands has easy to understand, and clearly impactful metrics that Product can share with the rest of the organization to inspire excitement and provide clarity into the impact of the work

  Requirements

  • Must have a position with the reach of 1.1 or higher
  • For this role, you must be milestone 1 or greater inData
  • For this role, it is recommended to be milestone 1 or greater inDesign Collaboration
  • For this role, it is recommended to be milestone 1 or greater inProduct Discovery
  • For this role, you must be milestone 2 or greater inProduct Knowledge
  • For this role, it is recommended to be milestone 2 or greater inInitiative

  Examples

  An observation relating to  Product engagement analyst  has not been publicly recognized yet.

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  • Engineering

     Assignments:

    Report Writer

    We respond quickly and efficiently when folks have a question that they think is best served by a report. However, our prime directive is to continually look for ways to enable folks (internal teams and customers) to have a way to self-serve the answers they need to do better work!

    Full Description

    Success looks like:

    • Fast
      • ... as measured by report requests completed cycle time (Need to define ideal cycle time)
    • Quality
      • ... as measured by report request CSAT (Need to introduce CSAT into ZD)
    • Multiplicative
      • ... as measured by a continuous reduction (and/or maintain low level) of report requests. This means that the insight that folks are looking for, they can get themselves. Which is better for customer service and better for Product.

    Requirements

    • Must have a position with the reach of 1.1 or higher
    • For this role, you must be milestone 1 or greater inData
    • For this role, you must be milestone 1 or greater inProduct Knowledge
    • For this role, you must be milestone 2 or greater inBusiness and Technical Translation
    • For this role, it is recommended to be milestone 1 or greater inCustomer Service

    Examples

    An observation relating to  Report Writer  has not been publicly recognized yet.

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    • Development

       Assignments:

      Machine learning engineer

      --No summary set yet--

      Full Description

      Success:

      • Converting data science models created by data scientists and converting them into performant, reliable, and resilient, production-quality functions. Squads will take the interfaces that you create and use them to build user-facing functionality.

      Details:

      • Probably using Python

      Requirements

      • Must have a position with the reach of 2.1 or higher

      Examples

      An observation relating to  Machine learning engineer  has not been publicly recognized yet.