The hottest Metrics Substack posts right now

And their main takeaways
Category
Top Technology Topics
QUALITY BOSS 39 implied HN points 25 Mar 24
  1. Metrics help show how good a product is and can lead to improvements. They can boost quality and user happiness.
  2. Bug metrics track issues like how many bugs are found after release and how long they take to fix. This helps teams focus on areas needing help.
  3. Product and automation metrics can include customer satisfaction and how well automated tests work. They help understand what's going right or wrong in the product.
Bottom Up by David Sacks 541 implied HN points 06 Sep 23
  1. SaaS companies need a dedicated dashboarding platform for their metrics.
  2. Problems faced by SaaS companies include lack of proper metrics, errors in data, and lack of real-time availability.
  3. SaaSGrid provides a solution by automating the calculation of key SaaS metrics and offering real-time dashboards.
Technology Made Simple 99 implied HN points 19 Jun 23
  1. Observability in distributed software systems is crucial as they grow in complexity and scale.
  2. The 3 pillars of observability are logs, metrics, and traces, each offering unique insights into the system's operations.
  3. Combining logs, metrics, and traces is essential for building tools that enhance observability and improve system performance.
Wisdom over Waves 59 implied HN points 28 Dec 23
  1. Adding more people to a late software project can make it even later due to various factors like onboarding time, increased coordination needs, and additional deployments causing outages.
  2. When a measure becomes the target, it loses its effectiveness, leading to actions like renaming variables or engaging in practices that prioritize metrics over true code quality.
  3. The structure of the software often mirrors the communication structure of the organization that designed it, showcasing the impact of company dynamics on software architecture.
UX Psychology 158 implied HN points 03 Oct 22
  1. Identifying clear goals is crucial in choosing the right UX metrics, involving team and stakeholders can help define meaningful and actionable metrics.
  2. Mapping goals to signals helps track progress towards goals; gathering user feedback and reviews can be essential signals to measure UX success.
  3. Refining signals into specific metrics is the final step, where data scientists can assist in ensuring metrics are measured accurately; focus on key metrics and avoid adding unnecessary data.
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The Ruffian 368 implied HN points 16 Dec 23
  1. Humans are becoming more like machines by allowing apps and corporations to define their values and goals.
  2. Metrics and rankings from technology and organizations can shape our values, making us prioritize quantifiable standards over personal fulfillment.
  3. Value capture by external agents can lead to a loss of individuality and hinder personal growth, as people conform to standardized metrics and neglect their unique aspirations.
The SaaS Baton 78 implied HN points 15 Feb 23
  1. Prematurely focusing on a small number of metrics can create blind spots.
  2. Having too many metrics can lead to confusion and complexity in understanding their relationships.
  3. Establishing clear communication and alignment with co-founders/partners is crucial for startup success.
Luba’s Newsletter 78 implied HN points 09 Mar 23
  1. Investors usually want to help your startup, prioritize good investors
  2. Keep investor updates concise, under 1.5 pages, and send regularly
  3. Include key asks, key metrics, and management discussion in investor updates
Shivansh 19 implied HN points 26 Apr 24
  1. P/E ratio compares a company's stock price with its earnings per share, providing insight into investor perception and market sentiment.
  2. Calculating P/E ratio involves dividing the current stock price by the company's earnings per share (EPS).
  3. Different types of P/E ratios like trailing and forward help in assessing past performance and future earnings, aiding investors in comparing valuations and identifying trends across industries.
UX Psychology 119 implied HN points 20 Sep 22
  1. UX metrics are vital for making evidence-based UX decisions instead of relying on opinions and beliefs.
  2. Using a combination of attitudinal and behavioral metrics can provide a comprehensive understanding of user experience.
  3. The HEART framework - Happiness, Engagement, Adoption, Retention, and Task Success - offers a structured way to select and track UX metrics for data-driven decision-making.
Dev Interrupted 28 implied HN points 24 Jul 25
  1. Not all metrics are useful. Some, like the Developer Experience Index, are hard to understand and can't show real improvement, making them less valuable for teams.
  2. It's important to focus on clear, actionable metrics. Rather than following complex frameworks, using simple and proven methods can help teams improve effectively.
  3. Measuring too much can lead to inaction. Organizations should spend more time improving their processes and less time on endless metrics and reports.
Teaching computers how to talk 62 implied HN points 28 Feb 25
  1. AI playing games like Pokémon can show us how smart it really is. It might be better than other tests because games need quick thinking and problem solving.
  2. Recent projects like Claude playing Pokémon on Twitch highlight how slow and confused current AI can be. It took Claude a long time to beat just one part of the game.
  3. Today's AI tests often focus on math or coding, but playing games might give a clearer picture of intelligence. We should use games to see if AI can think and adapt like humans do.
Philip’s Newsletter 24 implied HN points 26 Jul 25
  1. Jitter is more important than average FPS in 3D environments because it affects the realism and immersion of the experience. If frames are delayed, it can surprise the brain and break the illusion of movement.
  2. The average FPS can vary greatly due to different hardware and complex user-created content. This makes it hard to rely solely on FPS as a measure of performance.
  3. New metrics like Normalized Jitter and Normalized Frametime Variation are being tested to better reflect user experience. These metrics consider the timing of frames and how noticeable the delays are.
Tiny Empires 85 implied HN points 13 Nov 24
  1. Track your monthly net profit to see if your business is healthy. If profits drop for too long, figure out why.
  2. Know your Monthly Recurring Revenue (MRR) to understand how stable your income is. This helps you plan for the future.
  3. Focus on a few key metrics for marketing and sales, like the cost per lead and conversion rates, to make better decisions. Don't get lost in too much data.
SatPost by Trung Phan 201 implied HN points 19 Jan 24
  1. Tech apps influence our behavior through metrics, so don't blindly follow them
  2. Metrics like rankings, step counts, and likes can lead to 'value capture' influencing our decisions and behavior
  3. Be aware of how external metrics set by institutions in apps can guide our values and behaviors without us realizing
Hard Mode by Breaking SaaS 39 implied HN points 13 Nov 23
  1. An ARR book is essential in SaaS analysis to track customer contracts and calculate key metrics.
  2. The underlying data for an ARR book comes from customer contracts, detailing customer information and contract specifics.
  3. To convert contract data into an ARR book, organize logos and periods, calculate ARR changes, and categorize them into New Logo ARR, Expansion ARR, Logo Churn, and Downsell/Shrinkage.
Technology Made Simple 59 implied HN points 25 Jan 23
  1. Understand the problem you're dealing with before inventing your own math.
  2. Basic operations like division, multiplication, addition, and subtraction are key for creating new metrics.
  3. Consider existing metrics but be ready to modify or create new ones to better suit your specific needs.
Mindful Modeler 79 implied HN points 17 Jan 23
  1. Designing your own conformal predictor involves picking a suitable non-conformity score and evaluating it
  2. Consider the non-conformity score as the key element in conformal predictors
  3. To evaluate conformal predictors, focus on metrics like marginal coverage, average region size, and conditional coverage
platocommunity 19 implied HN points 15 Feb 24
  1. Empowering people to discover their strengths and amplify their impact is key in leadership.
  2. When measuring team effectiveness, consider the three buckets: what (strategic value), how (execution), and who (team dynamics).
  3. Combining measurement with follow-through techniques is crucial to determine if you're measuring the right things and drive continuous improvement.
Developing Leadership 39 implied HN points 25 Apr 23
  1. Engineering leaders have two main responsibilities: improving developer experience and delivering impact to end-users.
  2. The Engineering Leader's Process for Continuous Improvement involves identifying, discussing, deciding, aligning, acting, and measuring.
  3. It is important for engineering leaders to continuously loop through the improvement process, not just during times of issue.
Open Source Startup Podcast 39 implied HN points 07 Mar 23
  1. Investors now require open source companies to have at least $100k ARR by Series A.
  2. Investors focus on metrics like users running the project in production and engagement in Slack or Discord.
  3. Other important metrics for open source companies include GitHub issues, stars, usage & retention, and unique contributors.
Data People Etc. 266 implied HN points 13 Mar 23
  1. Data professionals may feel isolated due to externalized intelligence and lack of integration into daily activities.
  2. Thinkers in organizations may become untethered without proper recognition and integration with doers.
  3. To be effective, thinkers must be tightly integrated into their environment and endorsed by leadership.
Creating Value from Nothing 79 implied HN points 14 Mar 24
  1. Evaluation of performance in the Product organization focuses on inputs like quality of thinking over outputs.
  2. Avoiding using output targets to evaluate performance is important to maintain a customer-centric culture, prevent tunnel vision, and discourage risk aversion.
  3. While metrics are essential, team members are rewarded for excellent inputs rather than just meeting success criteria, emphasizing the priority of creating value for customers.
Sunday Letters 59 implied HN points 20 Dec 22
  1. Measuring developer productivity is really hard. Common metrics like lines of code or bugs fixed often don't tell the full story and can even be manipulated.
  2. It’s important to think about how a metric could be misused before applying it. Focusing on the wrong metrics can lead to unhelpful outcomes and confusion.
  3. Organizations learn and respond to metrics, but sometimes they take things too literally. Choosing the right metrics carefully is crucial to avoid unintentional negative effects.
Maestro's Musings 105 implied HN points 14 Sep 23
  1. Software development involves more than just writing code; it's a symphony of collaboration, communication, and coordination.
  2. Developers spend a small fraction of their day writing code; other activities like collaborating, debugging, and planning play significant roles.
  3. AI can enhance developer team productivity by focusing on automated testing, augmented code reviews, automated project management, and more beyond code generation.
Build To Scale 19 implied HN points 15 Sep 23
  1. Focus on a small set of key metrics at the executive level to avoid conflicting views and promote progress.
  2. Be cautious of over-analyzing data and creating a culture where analysis overshadows taking necessary actions.
  3. For startups, while revenue predictability is important, it's natural to experience volatility, especially in early stages.
Balancing Act 19 implied HN points 07 Apr 23
  1. North Star Metrics are crucial for measuring business success, but accurately comparing them to competitors can be challenging.
  2. Real estate data, particularly from the MLS, provides companies like Zillow and Redfin with precise market insights for measuring market share.
  3. Selecting and refining a North Star Metric as a business grows is essential, and leveraging industry-specific data sources can improve metric accuracy.
UX Psychology 79 implied HN points 16 Dec 21
  1. Standardized usability questionnaires have many advantages like objectivity, reliability, and validity.
  2. There are various post-test standardized usability questionnaires available, such as QUIS, SUMI, PSSUQ, SUS, and SUPR-Q, each with unique features and applications.
  3. Choosing the right questionnaire depends on factors like the nature of the project, stage of research, goals of the study, and budget limitations.
Dev Interrupted 102 implied HN points 20 Jul 23
  1. Efficiency improvements in engineering come from continuous habits, not just one-time decisions.
  2. Real-time visibility into metrics and guidance on 'good' metrics can drive organic productivity improvements.
  3. Automating pull requests & code reviews can significantly reduce cycle time and improve productivity in dev teams.