Platform KPIs and Adoption Measurement

By the end

What you'll build

• Select a measure set that resists gaming and explain what each measure would look like if it were being gamed
• Read delivery throughput and stability together rather than optimising one at the expense of the other
• Define active use, coverage, depth and retention for a platform capability and measure migration progress
• Attribute platform cost to consuming teams and produce showback reporting people accept
• Combine survey results with system data and segment them without breaching anonymity
• Produce a one-page platform report that states baselines, targets and uncertainty honestly

Curriculum

What's inside

7 modules · 35 lessons

1. 01

   Choosing what to measure

   5 lessons
   • Choosing measures that cannot be gamed into meaninglessness
   • Outcome, output and vanity measures distinguished
   • Leading and lagging signals
   • Why a measure set beats a single headline number
   • Sorting the measuresmatch pairs
2. 02

   Delivery and reliability signals

   5 lessons
   • Reading delivery throughput and stability together
   • Lead time and the queues hidden inside it
   • Change failure and recovery signals
   • Reliability read against stated objectives
   • Define it before you count itfill blank
3. 03

   Adoption measurement

   5 lessons
   • Defining an active platform user without flattering yourself
   • Coverage, depth and retention of use
   • Paved-road adherence and exception counts
   • Measuring migration progress rather than migration effort
   • Build an adoption number you can defendsequence order
4. 04

   Cost and efficiency

   5 lessons
   • Attributing platform cost to the teams that generate it
   • Unit cost and cost per environment
   • Showback reporting people trust
   • Balancing efficiency work against new capability
   • The first cost reportscenario
5. 05

   Experience and satisfaction

   5 lessons
   • Combining survey signal with system data
   • Survey cadence and avoiding fatigue
   • Segmenting results without breaking anonymity
   • Handling qualitative feedback at volume
   • What each signal can actually tell youmatch pairs
6. 06

   Reporting

   5 lessons
   • A one-page platform report an executive and an engineer both accept
   • Baselines, targets and stating uncertainty
   • Avoiding comparisons and benchmark figures you cannot evidence
   • Reviewing and retiring measures that stopped being useful
   • Numbers that survive the roomfill blank
7. 07

   Practice and check

   5 lessons
   • The measure and the way it gets flatteredmatch pairs
   • Introducing a measure that will carry consequencessequence order
   • Say what you actually countedfill blank
   • The adoption number due on Fridayscenario
   • Course quizquiz

The shape of it

How this course works