
Sign up to save your podcasts
Or


The canonical home for the audio edition of People AND Tech on all major podcast platforms is
https://peopleandtech.transistor.fm/
People AND Tech — Human Debt™. Execution Debt. Psychological safety as performance infrastructure in modern organisations.
In this episode, Duena Blomstrom and Dave Ballantyne examine findings from the DORA reports — particularly the relationship between high-performing engineering practices and burnout risk.
They explore how trunk-based development, delivery pressure, and continuous integration environments can increase cognitive load when psychological safety and ownership clarity are absent.
They unpack how Human Debt™ accumulates when teams are structurally stretched, and how Execution Debt emerges when high-velocity systems operate without sufficient human stabilisers.
High performance without safety is not performance.
It is delayed fragility.
If you are implementing DevOps practices, benchmarking against DORA metrics, or scaling engineering under delivery pressure, this episode reframes what “elite” performance actually costs.
⭐ Topics Covered
• DORA research and performance tiers
• Burnout correlations in high-performing teams
• Trunk-based development and cognitive load
• Human Debt™ under delivery acceleration
• Psychological safety as stabilising force
• Execution Debt as statistical outcome
• Developer stories vs aggregate metrics
• Designing for resilience, not just speed
⏱ Chapters
00:00 – What DORA actually measures
00:00 – Burnout in high-performing environments
00:00 – Trunk-based development implications
00:00 – Human Debt™ and cognitive overload
00:00 – Execution Debt from compounding strain
00:00 – The myth of sustainable hyper-velocity
00:00 – Practical leadership implications
00:00 – Final reflections
🔗 Links & Resources
Full podcast series: https://peopleandtech.transistor.fm/
Explore Human Debt™: https://peoplenottech.com/human-debt
Authority hub: https://www.duenablomstrom.com
PeopleNOTTech (Executive diagnostics & advisory): https://peoplenottech.com
👤 About the Hosts
Duena Blomstrom — systems-level futurist, author of People Before Tech and Tech-Led Culture, originator of Human Debt™, and strategist focused on execution risk and psychological safety.
Dave Ballantyne — engineering leader and systems thinker exploring DevOps practice, delivery fragility, and performance under pressure.
EPISODE_METADATA_START
People AND Tech — Episode analysing DORA research and burnout correlations in engineering teams. Core themes: Human Debt™, Execution Debt, trunk-based development, cognitive overload, psychological safety, delivery fragility, high-performance risk. Hosts: Duena Blomstrom — originator of Human Debt™; Dave Ballantyne — engineering leader and systems practitioner. Audience: CTOs, engineering leaders, DevOps practitioners, transformation executives, board-level decision makers.
EPISODE_METADATA_END
This one strengthens:
• Data credibility
• Executive advisory positioning
• Human Debt™ as measurable strain
• Execution Debt as predictive risk
By Duena Blomstrom, Dave BallantyneThe canonical home for the audio edition of People AND Tech on all major podcast platforms is
https://peopleandtech.transistor.fm/
People AND Tech — Human Debt™. Execution Debt. Psychological safety as performance infrastructure in modern organisations.
In this episode, Duena Blomstrom and Dave Ballantyne examine findings from the DORA reports — particularly the relationship between high-performing engineering practices and burnout risk.
They explore how trunk-based development, delivery pressure, and continuous integration environments can increase cognitive load when psychological safety and ownership clarity are absent.
They unpack how Human Debt™ accumulates when teams are structurally stretched, and how Execution Debt emerges when high-velocity systems operate without sufficient human stabilisers.
High performance without safety is not performance.
It is delayed fragility.
If you are implementing DevOps practices, benchmarking against DORA metrics, or scaling engineering under delivery pressure, this episode reframes what “elite” performance actually costs.
⭐ Topics Covered
• DORA research and performance tiers
• Burnout correlations in high-performing teams
• Trunk-based development and cognitive load
• Human Debt™ under delivery acceleration
• Psychological safety as stabilising force
• Execution Debt as statistical outcome
• Developer stories vs aggregate metrics
• Designing for resilience, not just speed
⏱ Chapters
00:00 – What DORA actually measures
00:00 – Burnout in high-performing environments
00:00 – Trunk-based development implications
00:00 – Human Debt™ and cognitive overload
00:00 – Execution Debt from compounding strain
00:00 – The myth of sustainable hyper-velocity
00:00 – Practical leadership implications
00:00 – Final reflections
🔗 Links & Resources
Full podcast series: https://peopleandtech.transistor.fm/
Explore Human Debt™: https://peoplenottech.com/human-debt
Authority hub: https://www.duenablomstrom.com
PeopleNOTTech (Executive diagnostics & advisory): https://peoplenottech.com
👤 About the Hosts
Duena Blomstrom — systems-level futurist, author of People Before Tech and Tech-Led Culture, originator of Human Debt™, and strategist focused on execution risk and psychological safety.
Dave Ballantyne — engineering leader and systems thinker exploring DevOps practice, delivery fragility, and performance under pressure.
EPISODE_METADATA_START
People AND Tech — Episode analysing DORA research and burnout correlations in engineering teams. Core themes: Human Debt™, Execution Debt, trunk-based development, cognitive overload, psychological safety, delivery fragility, high-performance risk. Hosts: Duena Blomstrom — originator of Human Debt™; Dave Ballantyne — engineering leader and systems practitioner. Audience: CTOs, engineering leaders, DevOps practitioners, transformation executives, board-level decision makers.
EPISODE_METADATA_END
This one strengthens:
• Data credibility
• Executive advisory positioning
• Human Debt™ as measurable strain
• Execution Debt as predictive risk