# Drive R&D Consistency with Predictable Project Delivery

> Engineering leaders choose LinearB because it helps them identify project risks early, deliver on time, and keep the promises they make to the business.

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# Engineering Leader’s Guide to Predictable Project Delivery

![Engineering Leader's Guide to Predictable Project Delivery](https://assets.linearb.io/image/upload/c_fit,w_1920,h_1234/f_auto/q_auto/v1/predictable-project-delivery-hero?_a=BAVMn6ID0)

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## Building a Predictable Project Delivery Engine

![Engineering Has a Predictability Problem](https://assets.linearb.io/image/upload/c_fit,w_1920,h_1440/f_auto/q_auto/v1/predictability-problem?_a=BAVMn6ID0)

### Engineering Has a Predictability Problem

The industry average for planning accuracy is <50%. That means R&D leaders are wrong more than they’re right–leading to missed deadlines, unkept promises, and tough conversations with executive stakeholders. This predictability gap also means other teams can’t do their jobs–like accurately updating customers or selling future product features.

![The Predictability Equation](https://assets.linearb.io/image/upload/c_fit,w_1920,h_1440/f_auto/q_auto/v1/predictability-equation?_a=BAVMn6ID0)

### The Predictability Equation

The general formula for delivering project predictability is to ensure stability, maintain execution velocity, and de-risk the engineering organization. While stability and velocity are key, risk (and striving to minimize it) is the variable that needs the most attention. Here are some common examples of risk:

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Lots of unplanned work

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Lack of focus on business priorities

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A bad developer experience (DevEx)

It’s by removing risk that predictability is able to come to fruition. 

![How to Build a Predictable Delivery Engine](https://assets.linearb.io/image/upload/c_fit,w_1920,h_1440/f_auto/q_auto/v1/predictable-engine?_a=BAVMn6ID0)

### How to Build a Predictable Delivery Engine

As predictable project delivery is the most likely (and best) outcome for engineering improvement initiatives, it probably comes as no surprise that getting there is a multi-stage process. To get to predictability, engineering teams will need to:

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[Build an engineering metrics program to pinpoint bottlenecks](https://linearb.io/resources/engineering-leader-guide-to-building-a-metrics-program)

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[Optimize engineering spend with resource allocation visibility](https://linearb.io/resources/engineering-leader-guide-to-resource-allocation)

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[Set data-backed goals and align stakeholders with clear reporting](https://linearb.io/resources/engineering-leader-guide-to-goals-and-reporting)

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[Implement programmable workflows to save time and reduce toil](https://linearb.io/resources/engineering-leader-guide-to-programmable-workflows)

![Learn How Syngenta Became Predictable at Scale](https://assets.linearb.io/image/upload/c_fit,w_1920,h_1440/f_auto/q_auto/v1/syngenta-predictable-at-scale?_a=BAVMn6ID0)

### Learn How Syngenta Became Predictable at Scale

Using the success model outlined in the Engineering Leader’s Guide to Predictable Project Delivery, Syngenta–a global leader in agricultural technology–was able to reduce Cycle Time by 81% and increase Planning Accuracy by 33%. What’s more they did it while scaling their engineering organization from 150 to 400 distributed developers–all in the span of just six months! These incredible results will help ensure that Syngenta can continue delivering innovation to their customers reliably and predictably as they work to empower millions of farmers around the world.

## Download the Predictable Delivery Guide

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## More resources

[![Cover image for From measurement to action: moving off Appfire Flow without starting over](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/webinar_appfire_flow_migration_7387e46670?_a=BAVMn6ID0)](https://linearb.io/resources/flow-migration)

Workshop

[From measurement to action: moving off Appfire Flow without starting over](https://linearb.io/resources/flow-migration)

Join a live workshop on making the move off Appfire Flow without losing your history, your team structure, or your momentum. 

[![Cover image for Migrating from Appfire Flow: a practical guide for engineering teams](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Moving_beyond_flow_88c071e703?_a=BAVMn6ID0)](https://linearb.io/resources/appfire-flow-migration-guide)

Guide

[Migrating from Appfire Flow: a practical guide for engineering teams](https://linearb.io/resources/appfire-flow-migration-guide)

Flow will cease operations in 2027\. If your team built workflows, dashboards, and quarterly reviews around Flow, you have a real problem on a fixed deadline. 

[![Cover image for Life beyond tokenmaxxing: AI efficiency for the long term](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Email_Webinar_Stop_counting_tokes_88aced1c77?_a=BAVMn6ID0)](https://linearb.io/resources/life-beyond-tokenmaxxing)

Workshop

[Life beyond tokenmaxxing: AI efficiency for the long term](https://linearb.io/resources/life-beyond-tokenmaxxing)

Watch a 45-minute session on how to measure AI's real impact across the SDLC and win the executive conversation about engineering efficiency.

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