Branch · Spring 2026
Migrating an engineering org from Jira to Linear.
A six-week pilot with real engineers, not a vendor demo. The data made the case. 2.7x throughput, 87 to 93% cycle completion, and the team voting overwhelmingly to migrate.
Role
Sr. Director, Product Experience
Duration
12 weeks (setup + pilot)
Team
Eng, PM, Product Ops
Outcome
Enterprise rollout decision
The result
2.7×
Throughput gain
93%
Cycle completion
5.0
Engineer satisfaction
6wk
Pilot duration
Our Jira instance had years of accumulated complexity. Non-standardized issue types, no cross-team initiative visibility, significant abandoned space alongside active work. The proposed fix was months of contractor-led cleanup. Before signing off, I wanted to test a different question.
I designed a six-week live pilot. Not a sandbox. Real engineers doing real work, benchmarked in both systems. Five target metrics set before the pilot started. Issue throughput, satisfaction, cycle completion, tracking percentage, resolution time.
"The data made the case."
The financial case wasn't a savings story. It was a capability story. Capability decisions survive procurement cycles. Savings decisions get re-litigated. The migration moved forward as a full org cut-over with white-glove customer success onboarding.
Five metrics. Four hits. One partial. Zero misses.
The pilot hit every target I set.
Issue creation frequency
2.7×
Issues created per engineer per week, baseline measured in Jira against pilot in Linear over six weeks. Target was 2×.
Issue creation frequency
Target: 2× increase
Engineer satisfaction
Target: 4.0+ in Linear
Cycle completion rate
Target: stable or improved
% of work tracked
Target: 80%+
Issue resolution time
Target: faster
Voice of the engineer
"Please let us keep using Linear. I desperately do not want to go back to Jira."
Pilot engineer · Post-pilot survey
What I did
Design leadership isn't just about what ships.
Framing the right question.
Most "tooling decision" stories are project-management fables. The leverage is reframing it as capability versus cost, not Jira versus Linear.
Holding the test accountable.
Five target metrics set before the pilot, not after. Methodology designed to be defensible to dissenters. Result presented as a business case.
Managing the dissent.
When the data is too good, the dissent gets sharper. Solution engineering sessions to address concerns directly before the cutover decision.
The meta-point
Design leadership isn't just about what ships.
It's about what gets decided.
Framing the right question. Designing a defensible test methodology. Holding it accountable to pre-set metrics. Presenting the result as a business case rather than a feature wishlist. That's what design leadership at the executive level actually looks like.