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Some ideas from: Team Guide to Metrics for Business Decisions by Mattia Battiston (@BattistonMattia) and Chris Young (@worldofchris)
DaryaManuhina
Oct 31, 2019
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Some ideas from: Team Guide to Metrics for Business Decisions by Mattia Battiston (@BattistonMattia) and Chris Young (@worldofchris)
Metrics
Why
to answer questions
to make better business decisions
to come conversations and insights to help teams succeed
!
use multiple metrics
never rely on a single metric
good metrics should surprise you every now and then
they generate questions as well, not just answers
https://github.com/SkeltonThatcher/bizmetrics-book
Metrics...
value
What should we do?
When should we do it?
What should we do next?
Ex
How many customers have we gained this month?
How much are they spending?
Which features are they using the most?
How long do people stay with us as customers?
Do they recommend us to their friends?
quality
failure demand
operational metrics (hygiene factors)
How much do we have left to do this week/month/year?
How much time do we have to finish this?
How long does it take us to deliver things?
Delivery rate, Cycle time
Throughput
What
How fast are we going?
the number of work items that were completed during a particular period of time
Why
helps you become more predictable
Story points & velocity
Are our estimates really working?
Lead time
to base on historical data and the metrics
!=
a high amount WIP?
no focusing
wastes
time
quality decease
work
product
queues in process visible?
unexpected events?
way for Team improving
important for each Team role
faster meeting!
realistic expectation & promises
improve planning and forecast
use it for short term predictions
How many stories can we complete in the next sprint?
How much can we get done in the next two weeks?
for long term predictions
How long will it take?
When are we going to complete this project/functionality/group of stories?
to validate experiments
Current situation
Our hypothesis
Action
Expected results
How to measure our results
calculate!
count the number of work items that have been completed in a fixed period of time
split throughput by work item type
follow a different process
the same process with different speed
stat
Average & median
Standard deviation
Min and max
Mode
the most common throughput
Probability percentiles
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