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Research for Internal Data Analyst Persona

Research Objectives

Creating a Data Analyst persona, in relation to upcoming ~telemetry product offerings. Gain a better understanding of the needs in this space.

What questions are you trying to answer?

  • Are data analysts using GitLab?
    • Do they use it as part of working for a company, for personal projects or both?
  • What is their workflow?
  • What are their motivations? What are their frustrations?
  • What are their goals (inside and outside of GitLab)?
  • How do they currently integrate their workflows/tools with GitLab? How would they like to in the future?
  • Which upcoming GitLab telemetry features align with their needs? Which features are missing?

Requirements

  • Data analyst needs to understand how the Telemetry API is being implemented into the product
  • Good experience working with the documentation

Methodology

User interviews with GitLab data analysts and data engineers.

  • Internal (GitLabbers)
    • Data Engineer, ES
    • Data Analyst, CR
    • Data Analyst, AM

Progress

  • Write screener survey [Deadline: Fri May 17th]
  • Write interview guide [Deadline: Fri May 17th]
  • Advertise study on Slack [Deadline: Mon May 20th]
  • Schedule interviews [Deadline: Tues May 21st]
    • Weds May 22nd
    • Fri May 24th
    • Tues June 4th
  • Conduct interviews [Deadline: Mon May 27th]
  • Start drafting/writing your personas. [Deadline: Mon June 3rd]
  • Finalize personas and share in issue [Deadline: Fri June 7th]
    • Create an MR to add persona to handbook [Deadline: Fri June 7th]

Top Challenges faced by GitLab Data Analysts

  • Understanding the parameters that define activation, engagement, and retention
  • Working with data that isn't structured properly
  • Inconsistency in tracking leading to lower data integrity
  • Getting additional granularity to the metrics that are being provided
  • Onboarding into various new data sources, especially when working on a team with a "generalist" model

Links

Edited by Katherine Okpara