Search
Close this search box.
Search
Close this search box.
Search
Close this search box.

A different approach to estimations in SAFe

Facebook
Twitter
LinkedIn
Pinterest
WhatsApp

SAFe™ (The Scaled Agile Framework) uses Story Points throughout the various levels as its estimation currency. This is covered in the “Story” article on the SAFe site. This is a pretty standard practice in organizations scaling agile these days. If you dive a bit deeper into how this is done in SAFe you will see that actually the story points used in SAFe are quite similar to “Ideal Developer Day” as this helps the teams align to a common baseline and support a rational economic ROI discussion at the level of Features/Capabilities that require effort from more than one team or haven’t even been mapped to a specific team yet.

An alternative to using Story Points at the team level that is interesting to look at especially as Kanban is becoming a first-class citizen of the SAFe world is to use NoEstimates.

In essence, this means not trying to estimate the size of the work just slicing work into a size that we can bite on and turn around quickly. To get a quick grasp cards-legend-non-explicit-rotated-b43a891a4ea2f2300bc84fcbee6c3bb6of it think of replacing your classic Fibonacci planning poker cards with a set of cards saying 1, TFB (Too Frighteningly Big), NFC (No Faintest Clue). This approach is rising in popularity among Kanban/ScrumBan practitioners – We’ve been looking at the “Iteration Planning” process for years trying to address some of its wastes/tensions.

This “No Estimates” inspired approach to story estimation in PI Planning has a couple of benefits:

  • It is faster – which comes in handy during PI Planning.
  • It forces teams to slice into smaller stories which is better.
  • It is naturally easier to baseline/align multiple teams around the same definition. (BTW a 1 here would be something like a 3 or 5 in the classic SAFe velocity calculation – a story that takes the team about 3 days to develop and 3 days to test)

Iteration Planning becomes even easier – Just understand your velocity and how many stories you can fit. Minimal time is spent estimating.

There are a couple of challenges though. Forcing the team to split their whole Feature into small 1-size stories including those that are only going to be pulled in later iterations in the PI might be a waste of time.

Another challenge is how to make rational economic decisions at the Feature/Capability and even Epic level without estimates. #NoEstimates die-hards say it doesn’t make sense to estimate even at this level, not just the stories level. I’m not convinced. What I typically do in cases where teams stop estimating story sizes is just use story counts as the currency at the higher levels. So instead of saying “This seems to be a 20 Story Points Feature” we would say “This Feature seems to be something around 20 stories” meaning we ESTIMATE it will map to about 20 stories when we eventually slice it. We DON’T slice it to stories in order to estimate. We reach that estimation using a classic relative estimate approach like Planning Poker / Team Estimation Game. This is actually something that helps with the first challenge as well. Knowing that we’re dealing with a Feature that we think has about 20 stories and that we identified 7 stories for the first iteration and 4 stories for the second, we might say something like there are around 9 stories more for the third iteration or even better – let’s look at the remaining chunk and compare that to our feature estimation scale and see how many stories we think there are there.

Of course, if we think there are dragons (a.k.a dependencies) hidden in this remaining chunk we should make the effort to slice it into smaller stories and work out the dependencies/scheduling with the other teams on the train.

I’ve done this with clients in the trenches. Based on this experience, I consider this alternative approach to estimation a legitimate alternative to Story Points estimation at the SAFe Team Level.

This blog post was originally posted on Yuval’s personal blog back in 2016.  

Subscribe for Email Updates:

Categories:

Tags:

NIT
Coaching Agile Teams
ART Success
The Kanban Method
SA
WIP
Games and Exercises
Risk Management on Agile Projects
AI Artificial Intelligence
Change Management
Implementation of Lean and Agile
Product Ownership
Managing Risk on Agile Projects
Manage Budget Creation
Agile Project
lean agile change management
Agile Development
Sprint Retrospectives
IT Operations
RTE Role
Agile Marketing
Hybrid Work
Jira Plans
Portfolio for Jira
Agility
Software Development
Webinar
Agile in the Enterprise
Tips
Scrum and XP
Agile
Agile Product Ownership
Lean and Agile Techniques
Keith Sawyer
SAFe
Agile Project Management
Lean and Agile Principles and Practices
Covid19
Agile Release Planning
Process Improvement
Business Agility
ATDD
Lean-Agile Software Development
Applying Agile Methodology
RTE
Rapid RTC
AgileSparks
Achieve Business Agility
Story Slicing
Agile Risk Management
ARTs
PI Objectives
speed @ scale
Entrepreneurial Operating System®
Quality Assurance
ATDD vs. BDD
Legacy Code
Spotify
Sprint Iteration
Continuous Planning
Scrum Values
Continuous Delivery
Managing Projects
SAFe DevOps
Agile Techniques
BDD
Agile Product Development
SAFe Release Planning
Agile Assembly Architecture
Program Increment
chatgpt
Implementing SAFe
Code
Lean Risk Management
Jira
Agile Community
Agile Contracts Best Practices
Scrum Master Role
System Integration Environments
Lean Agile Management
Agile Games and Exercises
QA
Planning
RSA
Agile for Embedded Systems
SPC
Introduction to ATDD
Kanban 101
POPM
PI Planning
Jira admin
Product Management
Self-organization
Jira Cloud
Iterative Incremental Development
Kaizen
Team Flow
Agile Program
An Appreciative Retrospective
TDD
Agile Exercises
Agile and DevOps Journey
Professional Scrum Master
agileisrael
Daily Scrum
Continuous Integration
Risk-aware Product Development
Nexus vs SAFe
Agile Mindset
Development Value Streams
EOS®
Kanban
predictability
Kanban Basics
Lean Agile
Releases Using Lean
Software Development Estimation
Principles of Lean-Agile Leadership
Pomodoro Technique
Effective Agile Retrospectives
Lean-Agile Budgeting
Operational Value Stream
Artificial Intelligence
Elastic Leadership
Nexus and Kanban
System Team
ROI
Large Scale Scrum
Release Train Engineer
Agile Games
Amdocs
GanttBan
Agile Delivery
Value Streams
speed at scale
LPM
Agile Outsourcing
A Kanban System for Software Engineering
The Agile Coach
Continuous Deployment
Limiting Work in Progress
Nexus and SAFe
Professional Scrum Product Owner
LAB
Lean Software Development
Certification
Frameworks
Continuous Improvement
AI
Risk Management in Kanban
Agile Israel
Agile Testing Practices
Agile Release Management
Enterprise DevOps
Atlassian
Atlaassian
Scrum Guide
Kaizen Workshop
Advanced Roadmaps
Acceptance Test-Driven Development
What Is Kanban
Introduction to Test Driven Development
Reading List
Professional Scrum with Kanban
Legacy Enterprise
Slides
Lean Agile Organization
Nexus Integration Team
User stories
Scrum With Kanban
Engineering Practices
Test Driven Development
Nexus
Scrum Primer
Built-In Quality
Lean Agile Leadership
Scrum Master
Kanban Kickstart Example
Video
Kanban Game
Lean Startup
Scrum
Lean Budgeting
Sprint Planning
Agile Israel Events
Systems Thinking
ALM Tools
System Archetypes
LeSS
Tools
DevOps
Agile Basics
ScrumMaster Tales
Scaled Agile Framework
Lean Agile Basics
Accelerate Value Delivery At Scale
Presentation
Scrum.org
Agile India
Certified SAFe
AgileSparks
Logo
Enable registration in settings - general

Contact Us

Request for additional information and prices

AgileSparks Newsletter

Subscribe to our newsletter, and stay updated on the latest Agile news and events

This website uses Cookies to provide a better experience
Shopping cart