S1E46 Exploring ServiceNow's Strategic Portfolio Management

Steele plays "Joe Schmoe", submits an espresso machine idea, then flips roles to the demand manager and carries it through ServiceNow Strategic Portfolio Management. Along the way, Steele and Pops cover how ideas get in, what a demand has to capture, and why a project can be approved and still not be able to start.

In this episode:

- Two intake paths: the service catalog form and the idea portal with crowd voting

- What a demand holds: sponsors, business justification, cost, risk, target dates

- Why vendor approval and MSA status belong on the demand

- Catching duplicate demands before they become projects

- Scenario planning in place of spreadsheet one and spreadsheet two

- The out-of-the-box business case tab Pops hates the most

- After launch: benefit plans, cost plans and the feedback loop

If you don't put the data in, the platform can't help you. That is the thread running through the whole episode.

KEYWORDS: ServiceNow SPM, ServiceNow Strategic Portfolio Management, ServiceNow demand management, ServiceNow idea portal, ServiceNow business case, ServiceNow scenario planning, ServiceNow Strategic Planning Workspace, ServiceNow goal framework, demand intake, portfolio management, value realization, project portfolio, IT leadership, ITSM, enterprise IT, The Wired Garage with Pops

See ya later.

The conversation explores the significance of portfolio management, its challenges, classic tools and frameworks, the impact of technology, and the role of AI in reshaping portfolio management. It emphasizes the importance of strategic decision-making, governance, and the shift from manual reporting to continuous intelligence.

Takeaways

• Portfolio management bridges strategy to execution
• AI shifts decision-making from project tracking to strategic investment
• Portfolio managers focus on strategic decision-making and organizational change management

Chapters

• 00:00 – Intro & Series Kickoff
• 00:42 – What Is Portfolio Management?
• 01:47 – Why Organizations Struggle
• 02:23 – Tools & Frameworks
• 04:03 – What's Changed Recently
• 04:53 – The Bottom-Line Impact
• 06:05 – The Human Element & Change Fatigue
• 07:07 – The Endurance-Race Analogy
• 07:55 – Case Study: The $30M CIO
• 10:05 – The Building-Blocks Analogy
• 11:00 – Enter AI: Real-Time Intelligence
• 12:40 – AI Easing PM Burnout
• 14:30 – Agentic AI in Action
• 15:45 – Are Portfolio Managers Still Needed?
• 16:53 – Wrap-Up & Next Episode Tease

Toby shares insights into managing a home lab, the challenges faced, and the transformative impact of leveraging AI to improve management and automation. He discusses disaster recovery testing, observability, and the applicability of home lab learnings to enterprise IT.

Takeaways

• AI can transform home lab management
• Disaster recovery testing is essential for home lab resilience

Chapters

• 00:00 Introduction to the Home Lab
• 03:01 Challenges of Managing a Home Lab
• 06:19 Leveraging AI to Improve Home Lab Management
• 15:30 Testing and Implementing Disaster Recovery
• 24:25 Observability and Future Plans
• 26:01 Applicability to Enterprise IT