Labs: Setting Engineering Goals and Reporting to Stakeholders

In our first Labs episode of the year, LinearB COO and Co-founder Dan Lines is joined by CTO Yishai Beeri to explore how elite engineering organizations set and report on their engineering goals. 

Modern engineering leaders face a dual mandate of achieving operational excellence while aligning their work with business priorities. To achieve this, you need to deliver software predictably—projects need to be delivered on time, within scope, and as promised so the rest of the business can drive ROI. Dan and Yishai highlight goal-setting methodologies to achieve predictable delivery and key metrics to focus on, ranging from planning accuracy and capacity accuracy to cycle time.

Along with goal setting, we cover how to effectively report on your goals and progress to business stakeholders. Plus, you can download LinearB’s CTO Board Deck Template to leverage in your next board meeting.

Episode Highlights:

01:24 Key terms to know when setting goals 
02:17 Engineering leaders’ dual mandate: operational excellence and business alignment 
08:18 How can engineering leaders set goals to achieve both sides of this mandate?
11:37 Why engineering organizations need to deliver predictably 
19:37 How to set goals around resource allocation 
27:30 Reporting on your goals to business stakeholders 
32:56 The LinearB CTO Board Deck Template

Show Notes:

• Gartner SEI Platform Market Guide
• CTO Board Slides
• Engineering Leader Guide to Goals and Reporting
• LinkedIn: Yishai Beeri
• Twitter: Yishai Beeri

OFFERS

• Start Free Trial: Get started with LinearB's AI productivity platform for free.
• Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB

• AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
• AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
• AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
• MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.