The hottest Change Management Substack posts right now

Managing a product catalog database is challenging due to constantly changing data and unique attributes for each product
Description tools like Sort enable database teams to provide important details like table names, hints for querying, and change logs
Collaborate effectively on database improvements using features like inviting contributors, using data explorer to pinpoint errors, creating issues for fixes, and utilizing change requests in Sort

When driving meaningful change, it's crucial to formulate your idea and gain approval from various stakeholders within an organization.
Thorough research is essential before proposing any idea to ensure credibility and avoid unknown unknowns that might lead to rejection.
Crafting a compelling narrative is just as important as presenting facts; having a structured story helps decision-makers understand the problem, solution, and value of the proposal.

Start with improving your mindset - it impacts decision-making and relationship-building.
View politics as normal human interactions - not always negative or manipulative.
Focus on making a positive impact, rather than seeking credit - let others take credit for your work to drive change effectively.

Driving meaningful change at work requires skill and knowledge
Understanding organizational politics and soft skills is crucial for building influence
A series of articles cover mindset improvement, credibility establishment, proposal crafting, delivery, and objection handling

Valuable work in tech is often a collaborative effort involving different teams and perspectives.
To foster cross-functional collaboration, communicate the big picture clearly through mechanisms like RFCs and understand and align with the incentives of others.
Breaking down silos, enabling effective communication, and celebrating contributions are key to successful collaboration between diverse teams.

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Incremental change is safe & allows quick adaptation using existing tools.
Radical change is scarier as it disrupts existing thinking & requires re-learning.
Experimenting with radical changes at a small scale can yield substantial benefits while minimizing risks.

Companies need to realize when their old methods don't work anymore. It's important for them to accept change and be willing to let go of past practices.
A strong leader or 'change agent' is crucial for any corporate transformation. This person helps push for new ideas and can come from inside or outside the company.
Having a clear plan for change is essential. Companies need to provide new direction and focus, along with actions that support their new goals.

Offering bonuses can increase the use of AI tools like Copilot in businesses. When people are paid to use these tools, it often leads to better results.
Different roles in a company may require different incentive strategies to promote AI usage. For example, software engineers might benefit from bonuses, while some roles might not need them yet.
Creating a fun and engaging training environment helps employees learn to use AI tools effectively. Simple activities can keep teams motivated and increase their usage.

To succeed with enterprise AI, focus on managing human change and understanding security needs. People often struggle more with adopting new tools than the technology itself.
Feedback shows that financial discussions and ROI measurement are crucial for AI projects. This means you need to keep those conversations at the executive level to get support.
Choosing the right platform for sharing insights matters. Moving to Substack was about cutting through the noise and connecting with the right audience more effectively.

Traditional Statements of Work (SoWs) are becoming less relevant because AI orchestration is streamlining processes. This means less time spent on integration work and more focus on effective solutions.
The rise of software-defined SoWs allows for programmable and automated contracts, replacing old static agreements. This shift opens new opportunities for consulting firms to innovate and adapt.
While the automation of tasks may seem threatening, history shows that new technology tends to create fresh job roles focusing on oversight and design, shifting the workforce toward higher-value activities.