The hottest Organizational Structure Substack posts right now

And their main takeaways
Category
Top Business Topics
lcamtuf’s thing 8774 implied HN points 12 Feb 25
  1. Many companies don't prioritize hiring security teams until after a major security incident happens. This means their first security personnel often lack experience to build strong security programs.
  2. Over time, security teams can become rigid and focused on their own tasks rather than aligning with broader business goals. This may lead to them missing urgent risks.
  3. When a major breach occurs, it can finally highlight the weaknesses in security strategies. This often leads to a change in team structure and a chance to improve communication within the company.
The Data Ecosystem 359 implied HN points 07 Jul 24
  1. A Data Operating Model is key for turning data strategy into action. It outlines how the organization works to achieve its goals using data.
  2. Without a proper Data Operating Model, companies face problems like data silos and short-term thinking. This impacts collaboration and the quality of data solutions.
  3. Successful operating models need to adapt as teams grow and change. They should cover not just team structure but also day-to-day tasks, delivery methods, and oversight.
The Data Ecosystem 239 implied HN points 30 Jun 24
  1. Companies often struggle with a data operating model that doesn't connect well with their other teams. This leads to isolation among data specialists, making it hard to work effectively.
  2. Data models, which are important for understanding and using data correctly, are often overlooked. When organizations don’t reference these models, they can drift further away from their goals.
  3. Many data quality issues come from deeper problems within the organization, like poor data governance and inconsistent processes. Fixing just the visible data quality issues won't solve the bigger problems.
SwirlAI Newsletter 511 implied HN points 28 May 23
  1. In Machine Learning projects, CI/CD processes need to treat the ML training pipeline separately from regular software pipelines.
  2. Efficient MLOps implementation requires an organizational structure where ML product development flows within a single end-to-end ML team.
  3. ML systems in mature MLOps setups involve ML teams building and delivering pipelines that expose predictions to end users through backend and frontend services.
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Rethinking Software 199 implied HN points 29 Aug 24
  1. Self-management is key for programmers, encouraging them to take charge of their work and make decisions on their own.
  2. Flat organizations are preferred because they promote equality and allow for more collaboration without strict levels of authority.
  3. Direct communication with customers is important, and companies should focus on being transparent and flexible rather than following rigid plans.
The Jolly Contrarian 179 implied HN points 07 Apr 23
  1. Consider supporting independent content creators financially to help sustain quality content production.
  2. Complex regulations like Basel III can be so convoluted that even regulators may not fully understand the consequences, highlighting potential systemic risks.
  3. Banks need to focus on managing both known and unknown risks, including risks that may not be obvious or mentioned in regulations, to prevent potential disasters like financial crises and organizational failures.
Great CTOs 'Focus on outcomes' 39 implied HN points 06 Feb 24
  1. Hierarchical reporting structure is an unchallenged assumption in most companies.
  2. Challenging the responsibilities associated with line management can lead to better outcomes.
  3. Simpler adjustments like shifting responsibilities can shift incentives and benefit managers and teams.
The Data Ecosystem 1 HN point 11 Aug 24
  1. Organizing data teams is tricky because they need to work with different departments. Companies often struggle to define who owns data responsibilities since data is needed everywhere.
  2. Data roles are changing fast, making it hard for teams to have clear structures. As new roles appear, it can get confusing to know where everyone should fit within the team.
  3. Choosing the right structure for data teams is important and should align with a company's goals. There isn't a one-size-fits-all answer, and each company needs to find what works best for them.
Technology Made Simple 39 implied HN points 07 Aug 22
  1. Define processes and delegate implementations as you progress in seniority, focusing on strategy and long-term goals, while trusting your team with day-to-day tasks.
  2. Communicate obsessively within your team to align on needs, goals, and challenges, fostering a culture of clear communication and mutual understanding.
  3. Clarity is crucial in business cases and evaluations, ensuring that all stakeholders can articulate the purpose and priorities of a project, promoting productivity and direction.
Load-bearing Tomato 7 implied HN points 16 May 24
  1. Hiring only seniors can create problems because it limits decision-making and leads to too many meetings. New or junior employees can help speed things up by handling tasks while seniors make bigger decisions.
  2. Having a mix of experience levels in a team is crucial for growth. If companies only hire seniors, they won't have new talent coming up, which can lead to challenges in the future.
  3. Good management is important in game development. Issues often come from poor organization rather than from the skill level of individual team members.
Joshua Gans' Newsletter 0 implied HN points 02 Mar 15
  1. Organizational structures based on PowerPoint and Excel can lead to different outcomes in data collection and decision-making processes.
  2. Team PowerPoint emphasizes collective decision-making and qualitative trade-offs, leading to comprehensive analyses of common phenomena.
  3. Team Excel focuses on specialized knowledge with separate teams managing instruments, resulting in very complete and specialized data collection but less collaboration.
Metarational 0 implied HN points 27 Jan 23
  1. Organizations appoint agents to make decisions on their behalf, which can lead to the principal agent problem if the agent's incentives don't align with the organization's goals.
  2. Solving the principal agent problem involves aligning incentives between the agent and the organization, and constraining the choices the agent can make to avoid conflicts.
  3. The principal agent problem can result in corruption, excessive risk-taking, or aversion to risk, impacting organizations like hedge funds, universities, and government agencies.
The Jolly Contrarian 0 implied HN points 28 Oct 23
  1. Organisation charts often do not reveal the actual functioning and dynamics within an organization, focusing more on formal structure than substance.
  2. Formal communication channels, like reporting lines, do not necessarily represent how work truly gets done in an organization; informal communications and interactions are crucial for progress.
  3. Management should trust and empower subject matter experts by minimizing formal impediments and recognizing the importance of informal networks and interactions within the organization.