Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Story Points Suck!
Search
Mauro Da Silva
November 16, 2024
Programming
100
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Story Points Suck!
Mauro Da Silva
November 16, 2024
Transcript
38 slides
Exploring a unique approach to estimation Managing Consultant Telstra Purple
THE HISTORY
…using them [story points] to predict “when we’ll be done”
is at best a weak idea
PROBLEMS WITH STORY POINTS
7:20AM Story Point
How long does it take to get to work? EXPERIMENT
1st March 2nd March 7:00AM 8:10AM 7:00AM 7:30AM 3rd March 7:00AM 7:20AM
Plans based on average are wrong on average
None
PRINCIPLES OF FORECASTING Reforecast with new information Think probabilistically, not
deterministically
None
Scatterplot Cycle Time (Days)
DON’T ESTIMATE STORIES
WORK IN PROGRESS
Monte Carlo Simulation
EXPERIMENT
EXPERIMENT
1 4 10,000x BASIC
When will all the work be 1 1st Feb 2nd
Feb 3rd Feb 4th Feb 0 2 1
When will be
How stories can be
START FORECASTING in just Four weeks
LITTLE’S LAW AVERAGE CYCLE TIME = AVERAGE WIP / AVERAGE
THROUGPUT
Use the assumptions of to verify stability
CFD
Average Arrival Rate Average Departure Rate matches
Finish all work that is started
Work in Progress should be constant
Work in Progress should be constant Average Age of
USE consistent UNITS
Think probabilistically
None
scatterplot
stories with
Completion Predict with Monte Carlo Simulation
Ensure stability with assumptions of
IMPACTS Tomorrows PREDICTABILITY Today’s actions
Thank you
None
More Decks by Mauro Da Silva
See All by Mauro Da Silva
What Submarines & Chickens Can Teach You About Teams
maurodasilva
0
140
Other Decks in Programming
See All in Programming
ActionController meets Protocol Buffers
sorah
1
800
AIで開発が速くなった先で、開発チームは何を目指すか
shihochan
1
2k
Claude Code ハーネスDeep Dive – 君はどこまで制御する? -
takateeen_knj
6
5.6k
조합이폭발하는디자인시스템이걸눈으로도테스트하라고요
giljongyu
0
750
Coding with AI: How to trust the storyteller (AWS Community Day Adria, Ljubljana 2026)
slobodan
0
140
DroidKnights 2026 Android A2UI Jetpack Compose 기반의 안전한 AI UI 렌더링 - 박제창
itsmedreamwalker
1
230
AI-Powered Domain-Driven Design
ziobrando
0
440
Next.js: The final boss of Web Performance
guaca
0
400
Long Living Tokens, Die, Die, Die! (or: The One Ring is Banned in Modern)
sylph01
0
420
우리의 Nitro Modules는 당신의 Turbo Modules보다 아름답다
l2hyunwoo
0
260
AIがコードを書いてくれる時代、我々は何を確かめるのか
yosuke_furukawa
PRO
13
5.9k
オーケストレーション記述言語 Katari
yukikurage
0
250
Featured
See All Featured
Statistics for Hackers
jakevdp
799
230k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
The Invisible Side of Design
smashingmag
301
52k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
620
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
33
5.7k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
560
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.4k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
530
Building Applications with DynamoDB
mza
96
7.3k
30 Presentation Tips
portentint
PRO
1
470
Fashionably flexible responsive web design (full day workshop)
malarkey
409
67k