Co-facilitator and breakout room coach on a five-day virtual Lean UX workshop for Pacific Gas & Electric's Asset Management Platform & Services (AMPS), the tool PG&E uses to inventory network, hardware, software, database, and bulk electric system cyber assets and hold NERC federal compliance. Eleven participants (stakeholders, subject matter experts, and AMPS users), worked through the full Lean UX arc in June and July 2022. I coached the ENOC Analyst breakout and co-authored the workshop record.
AMPS provided the basic functionality to maintain PG&E's asset inventory, but as asset information matured, the tasks of adding, managing, and monitoring assets grew cumbersome enough that users exported the data and worked elsewhere. Every export made the system of record staler, eroding trust in the data and the product, and putting grid safety and NERC compliance at risk. The engagement's job was not to redesign AMPS; it was to establish, with the people who own and use it, which improvements were worth building at all, and to teach a human-centered method PG&E could keep using.
Pre-workshop, we ran a structured problem-framing exercise with the sponsor and SMEs to land an approved product problem statement, and collected 20 business and user assumptions, each rated for value and risk. In the workshop, two breakout teams built proto-personas (Sean, a Telecom Engineer stewarding asset data, and Jason, an ENOC Analyst triaging outages), mapped their journeys, and marked the ten moments that matter most. Journey mapping surfaced a consistent emotional signature: relief on task resolution, anxiety wherever confidence in the data thinned. Teams converted assumptions into 19 hypotheses, each written with its cheapest viable test and a pass condition, then rigorously prioritized them to a top ten. A Design Studio session, rescheduled a week out after a real network outage pulled participants into response duty on the final morning, produced the sketches we refined into storyboards and wireframes for two concepts: Data Stewardship, and the Incident Impact Diagram.

Where confidence in the data thins
Breakout A mapped the Telecom Engineer’s week and marked the five moments that matter, each carrying the quote that fixed it and the business impact behind it. The signature is consistent: relief at resolution, anxiety wherever the record might be wrong. The highest peak is a verified status in Service Onboarding; the deepest trough is another pass through the asset tabs.
Ten hypotheses, each with the test that would settle it
Rigorous prioritization merged both breakouts’ 19 hypotheses into a ranked ten, by risk and perceived value. Every one names a business outcome, a user, a feature, and the condition that would count as a pass: #2 wanted half an hour off standard resolution time, provable by a Remedy query, passing when a participant could articulate an incident’s total impact in under five minutes. #3’s target is still an unfilled “X mins”.
Jason's outage, before it was a screen
Panels 2.4 to 2.6 of the ENOC Analyst narrative: a failed switch at a San Jose site named from the diagram, the devices above and below it traced, each one tagged into an impact report as he goes. The story was written first, so the concept had to answer to what an analyst does during an outage rather than to a layout.
What broke, and who to call, in one view
Selecting the failed node opens it beside the topology: the application, the line of business it serves, the CPUC requirement attached to it, what has gone wrong with it before, and the four people who own it, each with a checkbox for pulling them onto the bridge. Hypothesis #2 put a figure on what that was worth: half an hour off standard resolution time.
Tagging the blast radius
The same incident, one step on. Every connection above and below the failed switch carries its own verdict (impacted, not impacted, inactive), and Attach pulls it into the incident; the owners checked on the right start appearing as the bridge team. The impact report assembles while the topology is being read, rather than after.
The details panel stops closing
The deepest trough on Sean's journey map is reviewing assets tab by tab; “Why are there repeating rows for assets?” Here the application list stays put while the record opens beside it, tabbed by layer, so working through one application's 229 production servers is scrolling rather than navigation.
PG&E left with a ranked backlog of ten testable hypotheses, half of which pointed at integrations with systems like Remedy rather than at screens, a scoping insight the workshop surfaced before any build spend. The storyboards and wireframes gave them artifacts to run the riskiest experiments against, and a second, funded phase of work followed.
The hypothesis ratings, prioritization, and concept artifacts are preserved in the retained 83-page workshop book, and the figures here come from that record. No outcome measurement exists: the experiments were handed off with pre-specified success criteria and run, if they were run, after my involvement ended. The funded second phase is stated from my own account of the engagement; no scope document for it is retained in this archive.