Enterprise philosophy and the first wave of AI (18 minute read)
This history of technology highlights two waves: the digitization of back-office tasks, which had a massive economic impact, and the rise of personal computers, which empowered individuals to work more efficiently. Today, AI presents two philosophies: Google and Meta's approach of computers doing tasks for people versus Microsoft and Apple's view of AI as a tool to augment human work, with enterprises focusing on replacing human workers to improve efficiency and profitability.
|
From hands-on to hands-off (6 minute read)
Effective tech leadership involves stepping back to empower your team. As AI and complex product architectures evolve, successful product managers will prioritize collaboration and adapt their leadership styles.
|
|
How to figure out what users want, fast (12 minute read)
Analyzing software reviews offers valuable insights into user needs, making it a useful tool for research. The RAG design helps efficiently extract key information from vast amounts of data. Leveraging these insights can enhance your path to product-market fit and drive significant success.
|
How systems thinking can transform your product strategy (9 minute read)
Systems thinking analyzes the interrelationships within a system and its larger context, helping product managers create resilient, long-term strategies. By anticipating unintended consequences and ripple effects, this approach fosters strategic decision-making and avoids short-sighted solutions.
|
Thoughts on work-life balance (6 minute read)
The concept of work-life balance is unrealistic and stressful. Work-life prioritization allows for focusing on what matters most at any given time. By setting clear boundaries, such as working hours or personal time, and adjusting priorities based on different stages of life, individuals can achieve better fulfillment both at work and in their personal lives.
|
|
How consumer insights fuel billion dollar products (12 minute read)
A strong research and insights team creates competitive advantage by fostering deep customer and market intuition, enabling data-driven decision-making. To be effective, the team must go beyond basic research, collaborating with cross-functional partners to uncover capital “I” insights, build trust in their value, and provide actionable recommendations that inform strategy and drive business impact.
|
A culture of good decision-making (4 minute read)
Many organizations struggle with decision-making due to ineffective processes, information overload, and organizational challenges. Successful organizations focus on distinguishing between important and less-important decisions, decentralizing authority, and sharing context across all levels. By empowering teams to make decisions quickly and efficiently, while aligning goals and minimizing dependencies, these companies achieve faster, higher-quality decision-making.
|
How to deliver bad news when it's not your fault (6 minute read)
When delivering bad news at work, avoid using overly negative language, providing excessive details, or accidentally accepting blame, as these can complicate the message and damage your credibility. Instead, get to the point quickly, remind the recipient of their own agency in the situation, and focus on minimizing drama to maintain trust and effective communication.
|
|
Crisis mode (7 minute read)
Outsourcing tasks you dislike can be valuable, even if the quality isn't perfect, because it's about conserving energy, not just time. Recognizing what drains your energy is key to managing it. If you don't push back on overload and poor processes, there's no incentive for change in the organization.
|
|
Love TLDR? Tell your friends and get rewards!
|
Share your referral link below with friends to get free TLDR swag!
|
|
Track your referrals here.
|
Want to advertise in TLDR? 📰
|
If your company is interested in reaching an audience of product management professionals and decision makers, you may want to advertise with us.
If you have any comments or feedback, just respond to this email!
Thanks for reading,
Ellen Le & Sinan Zhang
|
|
|
|