Nicole Forsgren
where else to find them
what they talk about
all 6 in the filters
where they keep going back
no series more than once — all 13 in the filters
on a stage with
- Jez Humble2×
- Abi Nodaonce
- Adrian Cockcroftonce
all 6 in the filters
who talks about the same things
- Nathen Harvey19 talks
- John Willis31 talks
- Kalle Sirkesalo9 talks
- Gene Kim32 talks
- Dr. Nicole Forsgren4 talks
- Laura Tacho9 talks
| title | conference | date |
|---|---|---|
| Mean Time to WTF: Why Developer Experience Frameworks Belong in Your Incident... | SREcon26 Americas | 2026-03-24 |
Argues that applying SPACE and DORA to SRE work reveals measurable operational friction and that a new metric, Mean Time to WTF, (time from alert to “I… | ||
| Developer experience in the AI era | DPE Summit 2025 | 2025-09-23 |
Upcoming book Frictionless (Aug ’25) argues practical steps: adopt the SPACE framework for multi-dimensional developer metrics, apply RICE prioritization to… | ||
| Controlled Chaos: The Inevitable Marriage of DevOps & Security | Black Hat USA 2019 | 2019-08-03 |
Large-scale survey data shows elite teams optimize four metrics—lead time for changes, release frequency, change fail rate and time to restore (MTTR)—and are… | ||
| The Secrets of High Performance- What the Data Says | devopsdays Toronto 2018 | 2018-05-30 |
Large-scale survey analysis shows that teams combining technical practices, lean management and mission-driven culture outperform others: high performers… | ||
| The Data Behind DevOps: What Does It Take To... | DevOpsDays Silicon Valley 2018 | 2018-05-17 |
Claims backed by surveys of over 23,000 data points: teams classified as high performers show 46x more frequent deployments, 440x faster lead time and 96x… | ||
| If You Don’t Know Where You’re Going, It Doesn’t Matter How Fast You Get There | SREcon18 Americas | 2018-03-27 |
DORA’s four validated metrics are the actual claim: deployment frequency, lead time for changes, mean time to restore, and change-fail rate, measured across… | ||
| Are We There Yet? Signposts On Your Journey To Awesome | DevOpsDays Philadelphia 2017 | 2017-10-24 |
Survey data from the State of DevOps Report (23,000+ responses) shows high performers deploy on-demand with lead time <1 hour, 46× more frequent deploys and… | ||
| DevOps: The Key to IT Performance | Agile Singapore Conference 2016 | 2016-10-17 |
Conference research shows high-performing IT teams deliver both speed and stability: 200x more frequent deployments, 2,500x faster lead time from commit to… | ||
| My First Year at Chef: Measuring All the Things | DevOpsDays Seattle 2016 | 2016-05-12 |
A new metrics culture starts with an one‑page company scorecard mapping daily work to business goals, uses monthly team‑lead interviews as an MVP to measure… | ||
| DevOps: Next | GOTO Berlin 2015 | 2015-12-03 |
Research shows high-performing DevOps teams deliver 30x more frequent deployments and 200x faster lead times, with change success and recovery improving by… | ||
| How Continuous Delivery and Lean Management Make your DevOps Amazeballs | DevOps Enterprise Summit 2015 | 2015-11-03 |
Research shows continuous delivery—built from test/deploy automation, CI, and version control for production artifacts—predicts better IT and business… | ||
| DevOps Next | GOTO London 2015 | 2015-09-16 |
Research shows fully transformed DevOps teams deliver dramatic outcomes with measurable numbers not promises: 30x more frequent deploys and 200x faster lead… | ||
| Panel | GOTO London 2015 | 2015-09-16 |
Panel reports a measurable link between DevOps practices and firm performance using a cross-sectional survey with objective measures (stock tickers, company… | ||
| Panel Discussion Led by – Nicole Forsgren | GOTO London 2015 | 2015-09-16 |
Panelists argue that change starts with concrete experiments not grand plans, recommending pick one small experiment and measure if it moves the needle… | ||
| DevOps and the Bottom Line | DevOps Enterprise Summit 2014 (San Francisco 2014) | 2014-10-28 |
Analysis of 14,000 survey responses finds a measurable link between IT investment and organizational performance only when investment pairs with culture and… | ||
| nothing matches | ||