Pinboard (earth2marsh) https://pinboard.in/u:earth2marsh/public/ recent bookmarks from earth2marsh Why ATMs didn’t kill bank teller jobs, but the iPhone did 2026-03-18T05:37:14+00:00 https://davidoks.blog/p/why-the-atm-didnt-kill-bank-teller earth2marshBut why? Why did the ATM, literally called the automated teller machine, not automate the teller, while an entirely orthogonal technology—the iPhone—actually did? The answer, I think, is complementarity.
I am not a “denier” on the question of technological job loss; Vance’s blithe optimism is not mine. But I’m skeptical that simply slotting AI into human-shaped jobs will have the results people seem to expect. The history of technology, even exceptionally powerful general-purpose technology, tells us that as long as you are trying to fit capital into labor-shaped holes you will find yourself confronted by endless frictions: just as with electricity, the productivity inherent in any technology is unleashed only when you figure out how to organize work around it, rather than slotting it into what already exists. We are still very much in the regime of slotting it in. And as long as we are in that regime, I expect disappointing productivity gains and relatively little real displacement
]]> economics productivity jobs technology ai llms https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:6ba0fb34df00/ Institutional AI vs Individual AI - by George Sivulka 2026-03-14T02:11:02+00:00 https://www.a16z.news/p/institutional-ai-vs-individual-ai earth2marshFig. 1: The three evolutions of the Lowell Textile Mills. From left to right: the 1890 steam engine-powered mill, the 1900 electrical engine-powered mill, and finally the 1920 “unit drive” mill i.e. a ground up rebuild as an electrical assembly line. These returns came not from the technology itself, and not from making individual workers or machines faster at spinning thread. It was when we finally redesigned the institution and the technology together that the upside materialized.]]> ai llms factories lessons institutions productivity processes https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:bd3191da4a93/ How Not to Measure the ROI from AI in your Software Organization 2026-02-25T00:17:06+00:00 https://www.fightforthehuman.com/how-not-to-measure-the-roi-from-ai-in-your-software-organization/ earth2marsh everyone uses this thing differently. There is a lot of different stuff going on. Do not think about this as one experiment in your organization, but as a million little experiments. Your best first job might be to ask which experiments are working and why, rather than assuming you have just set one experiment in motion. Or for some of us, the job might be finding which experiments are damaging and why. I am not interested in telling you what to think about this, I am interested in how we refine what we think.]]> llms assistants coding development roi productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:a5d9810a1ee8/ Measuring AI impact like it’s 1995 | Swarmia 2026-01-14T22:53:57+00:00 https://www.swarmia.com/blog/measuring-ai-impact-like-1995/ earth2marsh The worrying problem with current metrics is that most assume the bottleneck is in the execution phase of development. But most companies’ bottleneck has always been in understanding what to build and why. And it seems to me that AI’s biggest impact might be in accelerating the discovery and validation phases that happen before code is ever written.
Start with learning goals, not productivity goals. Instead of measuring lines of code or completion rates, track how AI tools help your team learn faster about customer needs, technical constraints, and product possibilities. Success looks like teams that can iterate through more ideas, validate (or invalidate) assumptions more quickly, and arrive at better solutions through experimentation.
]]> ai llms productivity measurement https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:93185167d0ef/ [2507.09089] Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity 2026-01-09T23:47:45+00:00 https://arxiv.org/abs/2507.09089 earth2marshBefore starting tasks, developers forecast that allowing AI will reduce completion time by 24%. After completing the study, developers estimate that allowing AI reduced completion time by 20%. Surprisingly, we find that allowing AI actually increases completion time by 19%--AI tooling slowed developers down. This slowdown also contradicts predictions from experts in economics (39% shorter) and ML (38% shorter). To understand this result, we collect and evaluate evidence for 20 properties of our setting that a priori could contribute to the observed slowdown effect--for example, the size and quality standards of projects, or prior developer experience with AI tooling. Although the influence of experimental artifacts cannot be entirely ruled out, the robustness of the slowdown effect across our analyses suggests it is unlikely to primarily be a function of our experimental design.]]> productivity study llms coding development perception https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:4b8011733fca/ Let's stop pretending that managers and executives care about productivity 2025-08-07T17:05:35+00:00 https://www.baldurbjarnason.com/2025/disingenuous-discourse/ earth2marshEven if Large Language Models resulted in a 20% improvement in productivity (unlikely) that would still be substantially less than the negative impact of the overall productivity-hostile design of the modern workplace. And if they harm overall productivity (as is likely) companies have already demonstrated that they absolutely do not care about that one single jot. Control and stock prices are all that matters.]]> llms technology trends business productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:f2f4ce821d98/ Value, Productivity and Metrics · GitHub 2025-07-13T16:22:53+00:00 https://gist.github.com/sleepyfox/4c5abf71f04fd0695f7e5aa15cc2cd02 earth2marshProductivity should be defined in terms of profit This statement seems to be accepted as a God-given truth in most business and project management circles and whilst I think that there is a certain amount of merit in this approach the manufacturing world is quite different to the software world, a fact that is often overlooked. My response The problem with using the measure 'profit' in order to calculate productivity of a team (or anything else) is that you are now in the realm of Accountancy, and as any decent accountant will tell you, there are many different ways of measuring profit, and even a 'simple' to measure "revenue minus cost of sale" may not be a very good measure of "value to the business".]]> productivity productmanagement measurement metrics profit https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:060ea19ffd12/ In the AI Age, Making Things Difficult Is Deliberate 2025-07-13T05:00:00+00:00 https://every.to/thesis/in-the-ai-age-making-things-difficult-is-deliberate earth2marshAutomation threatens millions of jobs, but beyond near-term economic pain is a deeper concern. Entry-level roles stand to be disproportionately affected—the places where, for generations, people went to accumulate experience and learn their craft. Knowledge risks becoming merely transactional, a commodity to be accessed, rather than relational or internalized. Information on tap instead of an ongoing dialogue with ourselves and the world. We should use automation to take away mundane obstacles and drudgery. I do. But we must recognize the distinction between that and what I call productive friction. This is the kind of difficulty that’s worth preserving, the kind of struggle that pushes you forward as you push against it.]]> llms ai criticism friction productivity critique https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:54ac9842fe6d/ How to Measure the ROI of AI Coding Assistants - The New Stack 2025-07-12T22:01:08+00:00 https://thenewstack.io/how-to-measure-the-roi-of-ai-coding-assistants/ earth2marshThe 2024 DORA report found that a 25% increase in AI adoption actually triggered: A 7.2% decrease in delivery stability. A 1.5% decrease in delivery throughput.]]> ai llms productivity roi https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:b97770642b35/ 45 Minutes That Saved 20 Years: The Story of An Unlikely AI Hero — Jeremy Utley 2025-06-10T23:52:32+00:00 https://www.jeremyutley.design/blog/an-unlikely-ai-hero earth2marshMeet Adam. He's never written a line of code. He doesn’t have a LinkedIn account. But in just 45 minutes, he built an AI-powered tool that's on track to save the National Park Service thousands of days of work every year. How? By solving one of the most mundane yet time-consuming challenges every public facility faces: how to properly request new carpet tiles. Now, don't let the carpet tiles fool you. Behind every basic maintenance request in our national parks lies a labyrinth of federal specifications, OSHA requirements, ANSI standards, and building codes. Facility managers like Adam often spend 2-3 days assembling paperwork for even routine repairs. And across 433 park sites spanning 85 million acres, those hours add up fast. A Modest Training, a Monumental Impact When the National Park Service invited me to lead a modest upskilling initiative on generative AI, I jumped at the chance. I've spent countless nights under the stars with my family in our national parks, so the opportunity to help these stewards work more efficiently felt like an honor. The program was brief—just two hour-long sessions with about 50 participants—but focused. In our second session, I taught the group how to create simple, personalized GPT tools: lightweight, custom AI assistants that could automate repetitive tasks. I asked everyone to pick something tedious they knew how to do but hated doing. “Finish the sentence, ‘It stinks that…’” Adam spoke up: “It stinks that I have to fill out so much paperwork for basic funding requests.” In just 45 minutes, Adam built his tool. It asked him a series of questions about the scope of work, OSHA requirements, ANSI standards, and other details—and then generated a polished, complete funding request document. Instead of two or three days, Adam’s next funding request was done in two hours. But the story doesn’t stop there. The Ripple Effect A few weeks later, during an alumni showcase I hosted, another Facility Manager spoke up: “Wait, Adam, you made that tool? Someone sent me the link last week. I had blocked out Monday through Wednesday to process a door and window replacement request. Using your tool, I was done before lunch on Monday.” Adam hadn't even realized people were sharing his tool. I did a quick, real-time back-of-the-envelope calculation. “If this tool saves just one or two days per request across the parks in the system, that's over 7,000 days of labor saved annually.” Someone on the call corrected me: “Actually, it's closer to 14,000 days—you're being too conservative.” Think about that. A Facility Manager with no technical background built a tool in 45 minutes that’s saving the National Park Service the equivalent of 20 years of labor every year. But here’s what’s even more impressive: When Adam was asked to present his tool to 600 of his peers, he didn't just show them the tool—he rebuilt it from scratch, live, in front of the audience. “It's so easy,” he said. “It only took me 8 minutes this time. And this version is actually better than the first one.”]]> llms productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:63a29659380d/ No Silver Bullets: Why Understanding Software Cycle Time is Messy, Not Magic 2025-03-17T03:11:37+00:00 https://arxiv.org/html/2503.05040v2 earth2marshUnderstanding factors that influence software development velocity is crucial for engineering teams and organizations, yet empirical evidence at scale remains limited. A more robust understanding of the dynamics of cycle time may help practitioners avoid pitfalls in relying on velocity measures while evaluating software work. We analyze cycle time, a widely-used metric measuring time from ticket creation to completion, using a dataset of over 55,000 observations across 216 organizations. Through Bayesian hierarchical modeling that appropriately separates individual and organizational variation, we examine how coding time, task scoping, and collaboration patterns affect cycle time while characterizing its substantial variability across contexts. We find precise but modest associations between cycle time and factors including coding days per week, number of merged pull requests, and degree of collaboration. However, these effects are set against considerable unexplained variation both between and within individuals. Our findings suggest that while common workplace factors do influence cycle time in expected directions, any single observation provides limited signal about typical performance. This work demonstrates methods for analyzing complex operational metrics at scale while highlighting potential pitfalls in using such measurements to drive decision-making. We conclude that improving software delivery velocity likely requires systems-level thinking rather than individual-focused interventions.]]> developer productivity metrics research systems https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:cdf882e85440/ AI for Developer Productivity: What Now? | Uplevel 2025-03-09T19:11:18+00:00 https://uplevelteam.com/blog/ai-for-developer-productivity earth2marshBaseline metrics – or the lack thereof – make this clear. Even though AI has the potential to help with productivity, few companies will be able to conclusively prove this and invest the right amount of resources in the right ways. Too many companies don’t yet have a developer productivity baseline from which they can measure impact. Teams need to take a holistic approach to their organization to identify the biggest blockers to productivity — using both qualitative and quantitative data — and only then assess whether AI can target those specific problems. AI will not be a one-size-fits-all approach.]]> ai llms productivity developer metrics https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:56220dcc3d2f/ No Silver Bullet — Essence and Accident in Software Engineering 2025-02-02T20:44:50+00:00 https://worrydream.com/refs/Brooks_1986_-_No_Silver_Bullet.pdf earth2marsh computerscience papers fred_brooks productivity limitations opportunities https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:3f279161ce5a/ Our Productivity Problem Is Linked To Meaningless Measurement – Paul Taylor 2025-01-03T16:33:36+00:00 https://paulitaylor.com/2025/01/03/our-productivity-problem-is-linked-to-meaningless-measurement/ earth2marshMuller advocates for a balanced approach that combines quantitative data with qualitative insights and professional judgment. Much of the work that we are involved in at the moment is about exploring how to fix broken systems. You cannot move to a new place whilst obsessing about legacy measures. Indeed, I was recently told by a colleague that their team ‘couldn’t explore’ a new way of working, as it would mess with the metrics. When the work becomes a metric, the metrics become the work.]]> metrics productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:7300bfcb202e/ Research Paper | Developer Thriving: The four factors that drive Software Developer Productivity across Industries 2024-08-29T05:43:14+00:00 https://www.pluralsight.com/resource-center/guides/developer-thriving-research-paper earth2marsh software developer productivity studies research https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:4e1d658939e3/ TBM 304: Losing a Day a Week to Inefficiencies? 2024-08-03T06:45:50+00:00 https://cutlefish.substack.com/p/tbm-304-losing-a-day-a-week-to-inefficiencies?publication_id=24711&triggerShare=true&r=7vo67 earth2marshX: "I'd say we're burning around 50% of our time wading through debt, too many priorities, administrative tasks, and trying to muddle through..." Me: "My god. That is a lot, especially considering the recent layoffs. It makes any cost savings seem like a drop in the bucket—like saving 10% on gas for a car with terrible gas mileage." X: "I know, I know. We all know. But no one is willing to say it out loud."]]> productivity platformengineering roi debt productmanagement https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:7b82560ddfcf/ Are You Doing Product Management or Bullshit Management? | by David Pereira | Serious Scrum | Apr, 2022 | Medium 2024-07-19T05:46:20+00:00 https://archive.ph/2022.05.19-112601/https://medium.com/serious-scrum/are-you-doing-product-management-or-bullshit-management-3055e875eb69 earth2marshStakeholders will push for prescriptive plans and commitment to deadlines. Don’t fall into this trap. No plan will survive contact with end-users. Instead of creating a plan, make an assumptions list of what must happen for your idea to fly. Find fast ways of validating your assumptions. The faster you learn, the sooner you succeed. Solid product management has little to do with plans. Don’t focus on plans; put your energy into defining where to land and your first step towards it. You don’t need anything beyond that to start. After that, adapt your actions according to your learnings. Here are some signs you’re focused on learning instead of planning: Your Product Backlog is lean, with no more than a couple of months of work. You delete items from your Product Backlog because they don’t relate to your learnings. You discontinue features because they prove to create no or unsatisfactory value.]]> productivity learning planning advice https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:4b37cbb09cdf/ Measuring the impact of LLM-based tools - Agile Testing with Lisa Crispin 2024-05-14T00:36:11+00:00 https://lisacrispin.com/2024/05/10/measuring-the-impact-of-llm-based-tools/ earth2marshLead time for changes is a good example. This is the time it takes from when a merge or pull request is made to merge a change into the code repository trunk, to when the change is running in production. Let’s say that developers are able to produce code much faster with the help of an AI coding assistant. That could mean that they commit larger changes. That could mean a longer code review process, slowing down the lead time. Conversely, let’s say the coding assistant helps developers refactor the code and greatly improve its maintainability, testability and operability. This could help prevent bugs from making it into production, and reduce the change failure rate – the percentage of changes put into production that resulted in impaired service or outages. My own favorite overall metric of this type is cycle time, which I define as the time from when we start working on a story to the time it gets to production. In last team I worked on full time, we created a five-question “developer joy” survey based on  Amy Edmonson’s work, which team members filled out each week. We found that when cycle time went down, developer joy went up! Though, this was a couple years ago and we weren’t using LLMs much.]]> metrics development productivity llms coding https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:57388092ab5e/ Session Buddy – Manage Browser Tabs and Bookmarks with Ease 2024-03-14T00:12:38+00:00 https://sessionbuddy.com/ earth2marshchrome browser productivity sessions extensions tabs https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:58c6344cf9ad/ Applying the DevEx framework 2024-03-06T06:55:04+00:00 https://www.linkedin.com/pulse/applying-devex-framework-abi-noda-3idkc?trk=feed_main-feed-card_feed-article-content earth2marshFeedback Loops: When a developer makes a change, can they get feedback about that change fast enough? Feedback from tooling, like tests or a CI build, and people, like project stakeholders, are equally as important. Slow feedback loops can interrupt or delay the development process. Cognitive Load: How much stuff do developers need to keep track of in order to complete a task? Complex processes, as well as complex code, can lead to high cognitive load, which slows development down and increases friction. Flow State: Slow feedback loops and high cognitive load can make it hard to get into a flow state, as well as other factors like unplanned work and a non-optimised meeting schedule. Flow state describes the opportunity to get into a state of energized focus. This doesn’t just mean having blocks of uninterrupted time, but also systems that allow developers to become immersed in their work by reducing friction.]]> measurement metrics productivity developers https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:3e862bfdafa7/ TBM 271: The Biggest Untapped Opportunity - by John Cutler 2024-03-02T16:54:23+00:00 https://cutlefish.substack.com/p/tbm-271-the-biggest-untapped-opportunity?triedRedirect=true earth2marshMaria is a skilled pragmatist. She is not a pushover or an underperformer. She is a human navigating the weird sociotechnical systems we call "Companies."]]> productmanagement motivation productivity socio technical https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:62b4fba96271/ What Predicts Software Developers’ Productivity? 2024-02-27T05:11:54+00:00 https://research.google/pubs/what-predicts-software-developers-productivity/ earth2marshDrawing from the literature in software engineering and industrial/organizational psychology to identify factors that correlate with productivity, we designed a survey that asked 622 developers across 3 companies about these productivity factors and about self-rated productivity. Our results suggest that the factors that most strongly correlate with self-rated productivity were non-technical factors, such as job enthusiasm, peer support for new ideas, and receiving useful feedback about job performance. Compared to other knowledge workers, our results also suggest that software developers’ self-rated productivity is more strongly related to task variety and ability to work remotely]]> productivity factors research Google https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:89ef9f869081/ How Much Do Companies Invest in Developer Productivity Teams? | LinkedIn 2024-02-21T22:18:53+00:00 https://www.linkedin.com/pulse/how-much-do-companies-invest-developer-productivity-teams-abi-noda-i50gc/ earth2marshWe found that, on average, the companies we studied with under 1,000 engineers allocate 18.9% of their headcount toward centralized productivity teams, with a range of between 8% and 37%.]]> developer productivity platformengineering headcount staffing https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:4b2a024e4841/ DX: Developer Experience Insights Platform 2024-02-13T06:31:55+00:00 https://getdx.com/ earth2marsh dx productivity measurement https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:2b8326159472/ in search of a new tab :: up & to the right — Jonathan Borichevskiy 2024-02-01T23:45:28+00:00 https://jon.bo/posts/new-tab/ earth2marshA few months ago my friend Eli was sharing his screen and opened a new tab on his browser. Instead of the usual inspirational quote or clock extension, commonly-visited tabs, or my personal pet peeve - recent breaking news articles and photos from disaster zones - his new tab was a map of his internet and most important documents:]]> tabs browser inspiration productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:e4a5506d4e21/ Hundreds of Ways to Get S#!+ Done—and We Still Don’t | WIRED 2023-11-18T16:12:50+00:00 https://www.wired.com/story/to-do-apps-failed-productivity-tools/ earth2marshZeigarnik found a quirk of the human mind: When a task is unfinished, we can’t seem to stop thinking about it. We perseverate. Psychologists still argue about why; possibly it’s a kind of constant refresh to keep whatever’s pending from vanishing from our short-term memory, like putting something by the front door at night so you don’t forget to take it with you the next morning. Whatever the cause, today this is known as the Zeigarnik effect, and psychologists who study task management say it’s part of why so many of us feel perpetually frazzled by the challenge of organizing work and life. When we face all that undone stuff—emails to write, calls to return, people to contact, friends to check in on, memos to draft, children to help—it’s like being a waiter serving a hundred tables at once.]]> productivity psychology time lists cognitive behavior todos https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:8070e1e486cd/ 3 questions to get unstuck and start making progress 2023-10-25T15:37:45+00:00 https://www.deprocrastination.co/blog/3-questions-to-get-unstuck-and-start-making-progress earth2marshWhat haven’t I done yet? Why? — This question helps you identify unfinished tasks and understand the reasons behind your procrastination. What’s stopping me from doing this? — This question assists in identifying obstacles and excuses, allowing you to address them and move forward. What is making me frustrated or discontent? — This question encourages reflection on your sources of stress so that you can address those issues head on. ]]> procrastination tips productivity coaching questions https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:6f5ed681d703/ Despite the Hype, Engineers Not Impressed with DORA Metrics - The New Stack 2023-10-24T23:28:38+00:00 https://thenewstack.io/despite-the-hype-engineers-not-impressed-with-dora-metrics/ earth2marsh devops productivity metrics productmanagement platforms https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:8c84b008389e/ Centaurs and Cyborgs on the Jagged Frontier 2023-09-17T18:49:06+00:00 https://www.oneusefulthing.org/p/centaurs-and-cyborgs-on-the-jagged earth2marshWe also found something else interesting, an effect that is increasingly apparent in other studies of AI: it works as a skill leveler. The consultants who scored the worst when we assessed them at the start of the experiment had the biggest jump in their performance, 43%, when they got to use AI. The top consultants still got a boost, but less of one. Looking at these results, I do not think enough people are considering what it means when a technology raises all workers to the top tiers of performance. It may be like how it used to matter whether miners were good or bad at digging through rock… until the steam shovel was invented and now differences in digging ability do not matter anymore. AI is not quite at that level of change, but skill levelling is going to have a big impact. and...
Centaur work has a clear line between person and machine, like the clear line between the human torso and horse body of the mythical centaur. Centaurs have a strategic division of labor, switching between AI and human tasks, allocating responsibilities based on the strengths and capabilities of each entity. When I am doing an analysis with the help of AI, I often approach it as a Centaur. I will decide on what statistical techniques to do, but then let the AI handle producing graphs. In our study at BCG, centaurs would do the work they were strongest at themselves, and then hand off tasks inside the jagged frontier to the AI. On the other hand, Cyborgs blend machine and person, integrating the two deeply. Cyborgs don't just delegate tasks; they intertwine their efforts with AI, moving back and forth over the jagged frontier. Bits of tasks get handed to the AI, such as initiating a sentence for the AI to complete, so that Cyborgs find themselves working in tandem with the AI. This is how I suggest approaching using AI for writing, for example.
]]> llms genai ai productivity performance studies research https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:a765262669fe/ Energy makes time | everything changes 2023-09-14T00:16:15+00:00 https://everythingchanges.us/blog/energy-makes-time/ earth2marshThen one day they say fuck it all. They eat leftover pasta over the sink, drop mom off at her mahjongg game, and go sit in the park to draw. They draw for hours, until the sun goes down and they’re squinting under the street lights. And, lo and behold, the next day they plow through all those lingering to-dos. They see clearly that half of them were unnecessary when before they all seemed critical. They recognize a few others as things better handed off to their peers. They suddenly find time for attending to that one project they’d been procrastinating on for weeks. They sleep better. Their skin looks great. (Okay I might be exaggerating on that last one, but only mildly.) It turns out, not doing their art was costing them time, was draining it away, little by little, like a slow but steady leak. They had assumed, wrongly, that there wasn’t enough time in the day to do their art, because they assumed (because we’re conditioned to assume) that every thing we do costs time. But that math doesn’t take energy into account, doesn’t grok that doing things that energize you gives you time back. By doing their art, a whole lot of time suddenly returned. Their art didn’t need more time; their time needed their art.]]> creativity productivity time energy management https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:a0962f2a0d2f/ Your organization’s guide to the SPACE framework | Swarmia 2023-09-13T22:33:56+00:00 https://www.swarmia.com/blog/space-framework/ earth2marshSPACE lists the five most important dimensions of developer productivity (Satisfaction & Well-being, Performance, Activity, Communication & Collaboration, Efficiency & Flow) at three different organizational levels (individual, team, and system). Why you should use the SPACE framework? The SPACE framework aims to overcome the flaws of earlier attempts of measuring developer productivity. These "myths and misconceptions about developer productivity" include: Productivity is all about developer activity. Productivity is only about individual performance. One productivity metric can tell us everything. Productivity measures are useful only for managers. Productivity is only about engineering systems and developer tools. To counteract these myths, the SPACE framework "provides a way to think rationally about productivity in a much bigger space" that is informed by a wide range of research on developer productivity.]]> metrics development productivity developers framework https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:1eac17388c9a/ Pluralistic: Tiktok’s enshittification (21 Jan 2023) – Pluralistic: Daily links from Cory Doctorow 2023-01-23T23:36:34+00:00 https://pluralistic.net/2023/01/21/potemkin-ai/ earth2marsh platforms business rant productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:521c2413593c/ How Uber is Measuring Engineering Productivity 2022-11-01T22:31:06+00:00 https://newsletter.pragmaticengineer.com/p/uber-eng-productivity earth2marshOn Thursday, 4 August, Uber held an All-Hands meeting. Presenting at the event was Uber’s CEO, Dara Khosrowshahi. During the meeting, Dara showcased a new tool for all of engineering: the Eng Metrics Dashboard. It’s a dashboard which shows pull review metrics – which Uber calls ‘diffs’ – code review metrics and focus time stats. This is what it looks like at first glance: A mock-up of Uber’s Eng Metrics Dashboard, based on the tool I’ve viewed. The numbers and data in this and other mock-ups are for illustration purposes and are not reflective of the actual internal data at Uber. For the past two months I’ve been talking with software engineers and engineering managers about their experience with this new tool, and I’ve seen their views on its usefulness shift. In this issue, we venture inside Uber to get a sense of what the Eng Metrics Dashboard is, the problems it might attempt to solve and feedback from engineers.]]> coding development metrics productivity experience developer dx https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:78d49c04243d/ TBM 38/52: Navigating the Product Leadership Fog 2022-08-31T23:12:14+00:00 https://cutlefish.substack.com/p/tbm-3852-navigating-the-product-leadership earth2marshFirst is acknowledge that the strategic thinkers and get-it-done thinkers have similar/different needs Both want coherence, but different types of coherence The strategic thinkers want a sense of (and contribute to) the current thinking The get-it-done thinkers want a sense of the stable problems they can solve Then acknowledge that the big problem is… Degrading trust levels Degrading psychological safety levels Good people leaving]]> leadership strategy productivity culture challenges https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:130ec7b73249/ dscout + HmntyCntrd: Challenging Company Playbooks to Workplace Trauma 2022-08-23T05:04:58+00:00 https://dscout.com/people-nerds/organizational-trauma earth2marshbusiness productivity psychology work management covid trauma culture responses https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:1f389423dc64/ The best questions I ask myself — The Sunday Soother 2021-06-18T15:41:24+00:00 https://www.thesundaysoother.com/home/the-best-questions-i-ask-myself earth2marsh advice philosophy health productivity questions conflict shame life living https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:db9604f73b48/ Marginal Gains: This Coach Improved Every Tiny Thing by 1 Percent 2021-06-18T15:36:09+00:00 https://jamesclear.com/marginal-gains earth2marsh productivity coaching cycling management improvements betterment https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:e7f73cd4f6d3/ Reaching Peak Meeting Efficiency. Meetings are undeniably the most… | by Steven Sinofsky | Learning By Shipping 2021-06-05T00:47:15+00:00 https://medium.learningbyshipping.com/reaching-peak-meeting-efficiency-f8e47c93317a earth2marsh management meetings productivity work culture process https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:5c3c1cc4850f/ Tiny Wins 2021-05-09T05:50:26+00:00 https://joelcalifa.com/blog/tiny-wins/ earth2marshdesign development productivity ux tweaks https://pinboard.in/u:earth2marsh/b:843df51eb807/ The SPACE of Developer Productivity - ACM Queue 2021-04-06T02:31:36+00:00 https://queue.acm.org/detail.cfm?id=3454124 earth2marsh research programming productivity development management work developers https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:771833e0fad3/ Productivity Isn’t About Time Management. It’s About Attention Management. - The New York Times 2021-02-08T18:32:58+00:00 https://www.nytimes.com/2019/03/28/smarter-living/productivity-isnt-about-time-management-its-about-attention-management.html earth2marsh management productivity time https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:368d39ecabae/ Remote Work Impact on Ending The Great Stagnation? 2020-12-15T05:06:51+00:00 http://feedproxy.google.com/~r/marginalrevolution/feed/~3/q899y7lMsVM/remote-work-impact-on-ending-the-great-stagnation.html earth2marshwork culture productivity travel https://pinboard.in/u:earth2marsh/b:53a148e7cce9/ The Eisenhower Matrix: Introduction & 3-Minute Video Tutorial 2020-05-14T17:16:21+00:00 https://www.eisenhower.me/eisenhower-matrix/ earth2marsh productivity matrix eisenhower prioritization urgent important https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:e5edae5576ba/ Are we undermeasuring productivity gains from the internet?, part II - Marginal REVOLUTION 2019-12-07T08:02:09+00:00 https://marginalrevolution.com/marginalrevolution/2019/12/are-we-undermeasuring-productivity-gains-from-the-internet-part-ii.html earth2marsh IFTTT Feedly productivity economics internet https://pinboard.in/u:earth2marsh/b:c7e5861459f0/ Warren Buffett's "2 List" Strategy: How to Maximize Your Focus and Master Your Priorities 2018-12-18T22:05:06+00:00 https://jamesclear.com/buffett-focus earth2marsh methodology productivity priorities prioritization buffet parable efficiency goals https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:e203e920aebe/ The Ivy Lee Method: Simply Productive | Colter Reed 2016-09-02T15:41:54+00:00 http://colterreed.com/the-ivy-lee-method-simply-productive/ earth2marshproductivity tips lists priorities time management https://pinboard.in/u:earth2marsh/b:a03dcd6408e7/ Understanding Agile Team Metrics 2015-10-06T23:55:42+00:00 http://andycleff.com/2015/05/understanding-agile-team-metrics/ earth2marsh metrics agile velocity measurement teams productivity https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:0e760e81e435/ How to Lose Time and Money 2014-03-14T15:48:48+00:00 http://paulgraham.com/selfindulgence.html earth2marsh paulgraham productivity work quotes https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:b1e21e0fcfeb/ https://idonethis.com/ 2013-06-29T03:44:01+00:00 https://idonethis.com/ earth2marsh productivity email calendar tools collaboration team https://pinboard.in/u:earth2marsh/b:182b4e7c1a62/ Structured Procrastination 2012-12-29T06:21:33+00:00 http://www.structuredprocrastination.com/ earth2marsh procrastination productivity lifehacks psychology https://pinboard.in/ https://pinboard.in/u:earth2marsh/b:3f8927464f13/ WorkFlowy - Organize your brain. 2011-10-05T18:36:01+00:00 https://workflowy.com/ earth2marsh productivity tools https://pinboard.in/u:earth2marsh/b:2f1c0b591d1e/ [from sordyl] Github Flow 2011-08-31T19:30:06+00:00 http://scottchacon.com/2011/08/31/github-flow.html earth2marsh Git github Workflow Flow productivity scott_chacon https://pinboard.in/u:earth2marsh/b:160f3e2cccf1/ [from awhite] Seminal Productivity Ideas 2011-08-10T11:32:12+00:00 http://the99percent.com/articles/7064/Seminal-Productivity-Ideas?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+The99Percent+%28The+99+Percent%29 earth2marsh productivity https://pinboard.in/u:earth2marsh/b:bdbfee46640e/ Welcome to BugHerd - The world's simplest bug tracker 2011-06-17T21:20:43+00:00 http://www.bugherd.com/ earth2marsh webdev programming management bug database issue tracking bugtracking productivity https://pinboard.in/u:earth2marsh/b:4024bed6b057/ Are People Nicer In Cities? | Wired Science | Wired.com 2011-03-08T22:13:16+00:00 http://www.wired.com/wiredscience/2011/03/are-people-nicer-in-cities/ earth2marsh research wired cities productivity inspiration https://pinboard.in/u:earth2marsh/b:18bed9907668/ Irradiated Software - Cinch 2010-10-06T01:23:35+00:00 http://irradiatedsoftware.com/cinch/ earth2marsh osx productivity tools resize windows screen management layout snap https://pinboard.in/u:earth2marsh/b:a11cd181f9be/ Why did so many successful entrepreneurs and startups come out of PayPal? 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