Feature Flags and Product Experimentation

Requirements
  • Headquartered In: USA
  • Company Size: 500-5,000 Employees
  • Industries: All except Education and Government
  • Titles: Software Engineers, Developer and Product Managers exclude Mechanical Engineers and Marketing
  • Job Level: Manager+
Overview

When it comes to developing agile software solutions, today’s product and engineering teams are being pressured to do more with less. There’s an expectation to release constantly, to innovate faster without breaking things, and employees are burning out under growing resource constraints.

Intelligent feature management solutions help change the way the work gets done.

By attaching measurement & learning to feature flags, teams can observe the impact of every release, eliminating unnecessary risk throughout the process.  As a result, you can release more often with less friction, detect and resolve issues instantly, make data-driven product decisions with confidence, and improve quality of life to attract & retain talent.

Top reasons our community cites for adopting or considering this solution:

  • The expectation to release features more frequently to keep up with agile industry standards.
  • The ask to innovate faster without breaking things (code breaks + customer experiences).
  • The demand to work under resource constraints (without burning out).
  • If you release more, you might be introducing more risk–so you slow way down to play it safe and fall behind your competitors.
  • Not knowing the impact of the new features you release.
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You must be directly involved in your company’s evaluation process for solutions like this, or in the management chain for people who do. You must be a hands-on user of the prospective solution or in the management chain of users. Please do not register for programs that are an unlikely fit. Your credibility and ours depend on it.

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