#prodMgmt hashtag - Bluesky

1 week ago

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PRODUCTHEAD: Increasing and diminishing influence

» The art of influence is the highest-leverage skill remaining for product leaders

» AI agents require the same strategic clarity as humans do

» Building fast necessitates more human selectivity and […]

[Original post on imanageproducts.com]

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caffeinated for your safety

2 weeks ago

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PRODUCTHEAD: Putting the Product Operating Model into context

» There’s no one true version of product management, but there are 4 flavours

» Without support from the CEO, your product operating model probably won’t succeed

#prodmgmt #MartyCagan […]

[Original post on imanageproducts.com]

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@brianpiercy.bsky.social

3 weeks ago

The Highly Exclusive Way That Everybody Shops Now When everything’s a drop, what’s the point of a drop?

#prodmgmt #ecommerce #envy
www.theatlantic.com/culture/2026...

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3 weeks ago

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PRODUCTHEAD: Content design for humans and AI agents

» In a self-service world, good content design helps users do what they’re trying to do

» A content crit is a constructive, supportive peer review technique

» Poor content design diminishes the value […]

[Original post on imanageproducts.com]

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How We Got Here: Three Decades of Product Management's Identity Crisis Product management has transformed significantly in my 3 decades of experience, but it has still remained true to its original goals: how to meld business context to solving customer problems

3 weeks ago

New #prodmgmt post: What I've observed over three decades in the product management business. Plus ça change, plus c'est la même chose
www.prodbistro.com/how-we-got-h...

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The Toolbox Doesn't Make the Carpenter Having been in product management as long as I have, the evolution of the tools that do product management tasks, and while they are slick, they don't make you a product manager.

3 weeks ago

I have some thoughts about all the slick #prodmgmt tools, and how they don't replace the Product savvy that a good product manager must have: www.prodbistro.com/the-toolbox-...

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caffeinated for your safety

@brianpiercy.bsky.social

4 weeks ago

Serval's Path to Product-Market Fit — Win Enterprise Buyers by Treating Them Like Consumers Notes from an AI founder taking a swing at a hundred-billion-dollar incumbent.

#prodmgmt #pmf #discovery

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The Old Dog's New Trick: AI as a Force Multiplier in Building Technical Training For a long time, I was a sceptic, someone who resisted the use of GenAI in my day to day. I thought that it wouldn't be able to deliver the goods. That changed when we pivoted our development process,...

4 weeks ago

My latest: how AI is redefining how I build technical training for IT: www.prodbistro.com/ai-as-a-forc...
#prodmgmt

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4 weeks ago

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PRODUCTHEAD: How work actually gets done

» Visible and invisible process both contribute to how work actually gets done

» Orgs should not rely on individual heroic efforts in place of designed-in capacity

» Accelerating the build reintroduces a […]

[Original post on imanageproducts.com]

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Do I keep this alive? At a crossroads, is the Product Bistro worth keeping alive, or should it be allowed to slip into the long goodnight. Help me decide!

4 weeks ago

Taking a look at my blog/newsletter The Product Bistro. Is it worth keeping it alive, or should I officially retire it? #prodmgmt
www.prodbistro.com/do-i-keep-th...

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Sriram Narayan

@srny.bsky.social

1 month ago

(2/2) ...you might soon find your COO or CFO asking you (or your boss) to cut spend because they don’t see the business impact from all the extra output. The time is now to bridge the gap between features shipped and dollars earned. Here's how:
www.impactintel.net/impact-intel...

#prodmgmt

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OpsMatters

@opsmatters.com

1 month ago

Countly Countly is an enterprise grade analytics and marketing platform for mobile, web, desktop and IoT applications with a focus on data liberation and security.

The latest update for #Countly includes "Cohorts Explained: How Dynamic User Groups Level-up Your #Analytics Strategy" and "Is Your Analytics Platform Still Safe for 2026?".

#prodmgmt https://opsmtrs.com/3CETIMR

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Alicia Jarvis 🇨🇦

@a11yalicia.bsky.social

1 month ago

When inclusion ships: A product launch with purpose As product leaders, we talk a lot about inclusion. But every so often, we get to ship it.

Launching virtual sign language interpretation was more than a product milestone.

Sharing this in recognition of #InternationalWomensDay feels especially meaningful. Building accessible experiences is lived experience translated into impact.

www.alicia.design/post/when-in...

#a11y #prodmgmt

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@paninid.mastodon.world.ap.brid.gy

1 month ago

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PRODUCTHEAD: Reflections on the art and science of product management

» With appropriate context, those closest to the problem should make the product decisions

» Be outcome-focused and evidence-based regardless of what kind of product or service you […]

[Original post on imanageproducts.com]

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Coach Pāṇini ®

1 month ago

It’s been a year since “vibe coding” was coined, and a few different models of AI-assisted software development have emerged in the meantime. As I look at these various approaches, I’m thinking about what “product management” means today. All of the focus is on coders—and on how much easier it is to code. But that doesn’t mean the code is good. A lot of vibe-coded products I see are basically databases with nice frontends. That’s great, and powerful, but those aren’t _products_ —they aren’t adapted to their environments, or focused on their users. So what is the work of the product manager in this new world? First, I think we should list some different approaches to using AI to build software. Obviously there’s “vibe coding” itself: You prompt, you lean back, you drink a piña colada. Claude or ChatGPT write your app and you direct them from time to time. The product manager becomes the programmer, or the programmer becomes the product manager; all categories collapse, because who even cares? Eventually, a product shows up: A game, a word processor, a computer virus. There was plenty of hype at the start, but it seems like a lot of engineers are burning out on vibe coding; maybe it’s not as great as we’d hoped. Then there are the “Dark Factory” or “Gas Town” models: You are the commander of an army of thousands of agents, all working together, each with their own roles. They build, they test, they cannot rest until the code is working. They send you reports, and you command them, burning thousands of dollars in AI credits to command your flock of minions. They might build a whole system, or create something grisly, like a C compiler or web browser. It’s a black box, and you like it that way. # Want more of this? **The Aboard Newsletter from Paul Ford and Rich Ziade:** Weekly insights, emerging trends, and tips on how to navigate the world of AI, software, and your career. Every week, totally free, right in your inbox. There are also what are increasingly being called “runtime” approaches to programming. You put together a big bundle of stuff already in the box, and you ask AI to assemble from a box of nice, LLM-friendly lego parts. You don’t let the LLM stray too far. This last approach is what Aboard sets out to do for our customer-clients, and what tools like Base44 and Replit try to do for their customers. Runtimes are more like Legos. Things like data storage, authentication, and basic navigation patterns come pre-packaged. This limits the domain of problems you can solve—no one will build a cool 3D game with Aboard, but they might build a secure game-asset-management system they can use across teams. For personal projects, I find myself doing a lot of what I call “turn-based development.” This isn’t a broader category; it’s just how I think about it. The goal is not to “finish” the software—software is never finished—but to _build a system that makes each turn more predictable_. For example, I recently relaunched my personal website. It was a messy project I’d avoided for about 15 years because I’ve created a lot of digital stuff, and organizing digital stuff is very hard. I built my own CMS in 1999 and made it as complex as humanly possible, and then I went on to publish…a lot. If you count my tweets, articles, company newsletters, podcasts, photographs, and so forth, we’re looking at about 70,000 “things,” some a sentence long and some book-length, some simple text and some hosted on YouTube. It’s not really a “put it on WordPress” situation. A few months ago, I started working on importing some data. I kept asking Claude to look at a file, figure out what was in there, save it to a database, and tell me what it found. Then I’d ask for improvements. When I was done, I’d ask it to generalize what it was doing. I’d try to actually, you know, read the code it produces, and I’d encourage it to make things into libraries and re-usable functions. After taking 80 or 90 turns doing that and importing a bunch of old data (like my full tweet archive), I had increasingly high confidence that the next zip file would basically work as expected. I went from 80 turns to four or five per data type. I didn’t write any code, but I did read a lot of it, and if you asked me to explain the system I was using, I’d be able to do a good job. (It’s also a read-only system without a lot of private data, which means that my risk tolerance is pretty high.) I did similar turn-based work across a variety of domains: Text editing, content import, asset management, search, deployment, and feed generation. As I hit walls, I started breaking components into little modules. For example, I pulled the taxonomy manager out of the CMS and made it an independent module that could run inside the CMS. LLMs are easily confused—when you can’t do something with an LLM, just make a smaller system, and slowly reintroduce it. After a few months in the fog, working on this project for maybe three hours a week, I now have high confidence in how my coding turns will…turn out. But all I did was build a bunch of small APIs in my spare time, which is, well, programming. I’m nowhere near done—I don’t like the way search works—but it’s good enough, and even if it breaks, it’s just a website. Zooming out, one could say the big, agent-based approach of Gas Town is all about taking “system turns”: Giving instructions that improve the entire system at once. I’m suspicious of that. It might work for projects that are incredibly well-specified, can be parallelized, and yield to automatic testing, but that defines only a small class of software, like, say, an email server (although God help anyone trying to write a secure email server with an LLM). Personally, I don’t feel ready to trust an LLM to update an entire system at once. When I attempt to do so, it usually makes a lot of mess, and I have to clean it up. I’d much, much rather make a lot of little turns on lots of systems and fit them together, learning how they fit. When hiring product managers—and Aboard does!—we’re looking for this behavior. My hunch is that product management will end up looking like what I’m doing: Building up from runtimes and large bases of software, working within guardrails instead of just producing a ton of raw code, trying to make things repeatable and evolvable, cutting off little bits of software, growing them in a pot, then grafting them back onto the main branch. The job title could be something like “program implementer”; at Aboard, we define it as “solution engineering.” Everyone here is a solution engineer now, including me. It might get messy. Bosses might swoop in and change the system on the weekends because they’ll have access to the same tools you do—bosses tend to do that. But now, instead of sending an email, they can jump in and have an LLM write code and change the database. I expect people will be managing more systems than ever before. Occasionally you’ll reach out to an engineer or a designer for advice, but they might just log in and make the changes you need. Jobs are going to change and roles might evolve, but I suspect there will be more than enough work for everyone.

“I didn’t write any code, but I did read a lot of it, and if you asked me to explain the system I was using, I’d be able to do a good job.”

#ProdMgmt #ProductManagement #product #reading aboard.com/taking-your-turn/

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Countly Countly is an enterprise grade analytics and marketing platform for mobile, web, desktop and IoT applications with a focus on data liberation and security.

1 month ago

Producthead logo

PRODUCTHEAD: The value of the human in the loop

» Semantic ablation is when language outliers and quirks are averaged away by genAI

» GenAI exposes the thresholds and grey areas in your service’s decision-making

» Being able to build fast necessitates […]

[Original post on imanageproducts.com]

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OpsMatters

@opsmatters.com

1 month ago

The latest update for #Countly includes "Is Your #Analytics Platform Still Safe for 2026?" and "Countly 26.01: The Future of Analytics is Faster, Smarter, and Ready for #AI".

#prodmgmt https://opsmtrs.com/3CETIMR

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1 month ago

Producthead logo

PRODUCTHEAD: Forever problems and earning your keep

» Understanding cultural lenses is a must when working across geographical teams

» Financially viable products must earn back multiple times their ongoing costs

» AI may help to solve (or exacerbate) […]

[Original post on imanageproducts.com]

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1 month ago

Producthead logo

PRODUCTHEAD: Down with the technocracy!

» Only having geniuses at the top of an org defining strategy for everyone else to enact is a relic of a bygone era

» The allocation of ‘time’ and the allocation of ‘capacity’ are very different concepts […]

[Original post on imanageproducts.com]

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2 months ago

A bird cage hanging up with a yellow canary in it

Canary in the mine: AAA game developers are unionising

Early warning signs that there may be another storm brewing in tech for product managers to weather

#prodmgmt #communityOfPractice #developers #firing #gaming #generativeAI #hiring #unions 📖 Read […]

[Original post on imanageproducts.com]

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The Reframe is the Startup Startups are supposed to be about building. But the ones that break through don't just build. They shift how we see.

2 months ago

Producthead logo

PRODUCTHEAD: Beliefs and culture

» Changing behaviour and beliefs is crucial for people to adopt a fundamentally new org strategy

» Culture optimised without alignment has unintended consequences

#prodmgmt #behaviour #beliefs #culture #transformation 📖 […]

[Original post on imanageproducts.com]

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Roger L. Cauvin

@rcauvin.bsky.social

2 months ago

Successful startups often don't play in the same field as the competition. They reframe the landscape as something different.
open.substack.com/pub/patternb...
by @m2jr.bsky.social #prodmgmt #startups

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Start the new year by running your sprint reviews with zoom and text scaling turned on Sprint reviews are all about one thing: figuring out whether what we built actually works for real people.

2 months ago

Startup to Scale-up Club Q&A 174

Startup to Scale-up Club - Product and Tech - 176

Startup to Scale-up Club Q&A – 13th Jan 2026

» Recommendations for automated infrastructure monitoring

» Safe presentation of medical data in Femtech apps

» Trade-offs of cloud versus local AI deployment for agricultural technology

and more

#prodmgmt […]

[Original post on imanageproducts.com]

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Alicia Jarvis 🇨🇦

@a11yalicia.bsky.social

2 months ago

“Start the new year by running your sprint reviews with zoom and text scaling turned on” via @medium.com #a11y #prodmgmt medium.com/design-bootc...

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Alicia Jarvis 🇨🇦

@a11yalicia.bsky.social

2 months ago

Start the new year by running your sprint reviews with zoom and text scaling turned on As we kick off the new year, it’s a good time to pause and ask an honest question: are we really seeing our product the way people use it? When we review a TV experience at the default size, we’re usu...

Try this in your next sprint review: turn on text scaling and zoom magnification (yes, 2× or 4×).

Things get real fast. Buttons panic. Layouts reveal secrets. Screens that looked “fine” suddenly… don’t.

Design for the couch, not the mockup. #prodmgmt

www.alicia.design/post/try-run...

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