Just in-time decision making
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Transcript of Just in-time decision making
Just-in-Time Decision MakingIncluding 3 well-known secrets
Presented by Johan Karlsson, Hansoft
STRUCTUREFOR AUTONOMY
CADENCE &FLOW
DATA &METRICS
JUST-IN-TIME DECISION MAKING
Why do we place clocks on our most important buildings
for decision making?
The Usual BlockerDETAILED FIXED YEARLY BUDGETS
Vs.
When is Just-in-Time for Decisions in Software
Development?
Just-in-Time
As late as possible?
One Challenge
DemandNeedsRequirements
Teams pull when there is capacity
ProductBacklog
www.hansoft.com/releasetrain
Value Adding Work
ts
Promise First DeliveryNeed
tp
Do we understand:The actual need?
Potential business value & probability of realizing that value?
True capacity?
td
Start
* Scale not true to reality
Timing differs for:
TeamsProducts / ProjectsPortfolios / Executives
Convergence & Divergence
Option A
Option B
Option C
Option D
Option A
Option A1
Option A2 Option
A3
Option A4
Option A3
ConvergenceDivergenceConvergence
Customers / Portfolio
Product / Project
TeamsIndividuals
VendorsEtc…
See: “Fixing Portfolio Management” by Pawel Brodzinski (https://www.youtube.com/watch?v=O_pr1KhSXgw)“My 40 Year-Old Corporation Can Pivot Faster than You” by Jabe Bloom (https://vimeo.com/63911163)
Commitment
Secret 1: Identify right time to stop diverging
Convergence & Divergence
Option A
Option B
Option C
Option D
Option AOption
A3
Pick 1 Featureas late as possible
Product Backlog
See: “My 40 Year-Old Corporation Can Pivot Faster than You” by Jabe Bloom (https://vimeo.com/63911163)
Commitment
Listen to the customer
Do it
Convergence & Divergence
Option A
Option B
Option C
Option D
Option A
Option A1
Option A2
Option A4
Option A3
Test “10” Options
Pick 1 Feature
Product Backlog Contradictory( Concurrent )
See: “My 40 Year-Old Corporation Can Pivot Faster than You” by Jabe Bloom (https://vimeo.com/63911163)
Commitment
Choose the most successful based
on data and product vision
Option A5
Option A6
Option A7
Option A8
Option A9
Option A10
ValidateExplore
Option A4
??? days
Secret 2a: Hard Max and soft Min limits
Secret 2b: Stack Rank on all levels
Issue
Principles of stack ranking everywhere
Option A
Option B
Option C
Option D
1
2
3
4MAX
MIN?
Secret 3: Options have best before dates
The value of options are like carsP
oten
tial V
alue
* P
roba
bilit
y
Time
Potential New Feature
Kill line
Easy with fixed date situationsP
oten
tial V
alue
* P
roba
bilit
y
Time
Fixed Date
Summary
Agile / Lean Frameworks
Outcome: shorten time from commitment to
delivery.
Explore
Converge to keep options as long as you can.
Outcome: Disruptive features
Automate with Reason
Use scientific method, with trust for your data
Outcome: The decision process is consistent and drives the product in the
right direction
1. Right time to stop diverging – dare to explore!
2. Limits + stack rank everywhere3. Options have best before dates
Thank you!Johan [email protected]