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Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
Whether you’re just starting with OKRs or looking to improve your existing implementation, this comprehensive guide will help you create an effective OKR framework that drives real results. The key to success lies in focusing on measurable outcomes, maintaining transparency, and avoiding the temptation to create too many OKRs.
Below is an overview of the main problems I ran into, along with our framework for addressing them and sustaining our innovation and growth. Challenges due to hypergrowth. Solutions were one-shot Metrics used, little to know customer feedback and validation Embedded in delivery, overhead due to unexpected.
Relative to other standard roles defined in an organization such as Ops, Marketing, Tech etc., Often, this is due to resource constraints rather than a lack of understanding of a PM role. There are many frameworks available on building products and the approach varies individual to individual. Hard Skills Required for the Role.
The Challenge of Balancing Vision vs. Strategies for Maintaining Product Vision Without Losing Adaptability Use a structured prioritization framework (e.g., Shift from fixed yearly planning to rolling quarterly reviews to allow flexibility in roadmap decisions. Use decision-making frameworks (e.g.,
But in today’s fast-paced world, your customer support can only be as effective as the technology that underpins it. Study after study shows that the vast majority of support teams are unhappy with their current customer support tech stacks. Download The Ultimate Modern Support Tech Stack guide. Is your tech stack ready?
A startup development team consisting of a product manager and two offshore engineers was facing major challenges in meeting client deliverable deadlines – repeatedly. Each major release deadline created a high pressure environment with engineers working overtime in the weeks prior in order to meet delivery dates. THE CHALLENGE.
Recently, at Hemnet, Sweden’s beloved property platform, she led product development that drove a 130% increase in top line revenues, making it the growth engine of the business. Leadership doesn’t always mean management Many professionals enter product management from technical backgrounds, such as engineering or development.
Below, you’ll find what I believe is the most actionable, specific, and straightforward framework for crafting a strategy, for both your product and your company. As Chandra shares below, his framework sits on top of the best strategy wisdom out there (e.g. Then iron out any adjustments as a result of these reviews.
So I’ve been on the hunt for a framework that actually helps you measure and increase your velocity. Core 4 pulls everything they’ve learned from working with thousands of teams into a single unified developer productivity framework. I’ve finally found it. Her background is in developer tools and distributed systems.
But when we make technical decisions, we like to be conservative. In practice, being technically conservative looks like reusing existing technologies and frameworks in our stack, or promoting tried and tested patterns and solutions. Here, Waheed discusses our engineering principle “Be technically conservative”.
It happened with PMs, engineers, designers, and marketers at all levels of seniority and tenure. They review the manager’s performance. Conduct the API endpoint experiment APIs are wonderful because they allow engineers to get tasks done by simply relying on the interface and ignoring all the underlying complexity behind it.
In addition, choosing the wrong product management framework added to the failure of the launch. Feasibility risk impacts the capacity of the team to build the product given time, skills and technology constraints. The product and the engineering team did not get the opportunity to conduct a feasibility study.
It’s always better when we’re together Photo by henry perks on Unsplash When I entered the wondrous world of product & engineering for the first time, I did not understand why there was a split between Product & Engineering. Engineering decides how and executes. One cannot exist without the other.
For example, when a citizen fills out an online application to renew their driving license, the application is reviewed by an agent or case officer who processes it further. Digital architects design the technicalframework, ensuring that all components work together efficiently.
You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Incorporating these tools into your customer experience tech stack will drive more engagement, gather high-quality customer feedback, and help inform your product roadmap. Supporting tech. This is a valid question. Rightpoint.
He also wrote my 9th most popular post of all time ( Become a more technical product manager ). IDEs) that help you write code with the help of AI Let’s review the most popular tools in each category to see what they can do and what we can build. By default it uses specific frameworks called Next.js
Depth over breadth: Revolut’s leaders deliberately go extremely deep into 7 to 10 projects (out of 100 or more running simultaneously), but at a code and technical implementation level. This eliminates the uncertainty of whether poor traction is due to a bad idea or poor execution, making feedback interpretation clearer.
After more than 20 years in tech, eight companies, and thousands of hires, Shopify's Farhan Thawar shares his go-to-framework for snagging a VP of Engineering.
Interview assignments have become a common component of the hiring process for engineering roles. These technical problems, also known as email screeners or, as we call them at Intercom, take-home tests, are a useful way to initially evaluate the technical ability of candidates applying for engineering positions.
by Rich Archbold, Senior Director of Engineering at Intercom. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. When I say “execute”, I don’t simply mean the engineering challenges of building something. The same is true in software.
Question the need for it, discuss the possible impact, conduct research (wherever possible), go through contextual data, competitors, and talk to the stakeholders – Product, Tech, Ops, Support. Engage with tech, product, etc., Reconstruct the UI flows, detail and prototype it out for engineers to start work. for feedback.
But it does mean owning decisions and having frameworks to get them the results they need. You can do this by immersing yourself in their processes and taking part in sprint planning, reviews, retrospectives and demos. Her first love was technology, which led her to study software engineering at UCT. About Terri Boshoff.
At this point, the designer’s job starts to feel more like either engineering — where we assist developers in mapping user interfaces — or product management, where we contribute to shaping the roadmap through user research. However, if the flow is technology-heavy and intended for engineers, a designer’s contribution can become tricky.
Building the ODI Framework After the PCjr setback, Ulwick moved from engineering to product planning at IBM. This framework made innovation more predictable and effective. Ulwick introduced the opportunity algorithm in a 2002 Harvard Business Review article. He started exploring what makes innovation successful.
The value assessment framework allows you to identify gaps in any of the value layers — definition, delivery, and perception. Photo by Iain Kennedy on Unsplash When I was a product lead at Imperva, there was a feature that engineering kept telling me required a rewrite. The poor state of the feature wasn’t engineering’s fault.
Customers are mostly flexible with their car preferences due to the nature of the marketplace. AI Vision : Intelligently match customers with their ideal car through a sophisticated, single-prompt recommendation engine. Framework for Building AIsystems Machine Learning Machine Learning (ML) is utilized for data-driven predictions.
To use AI well in product management, we need to know how to ask it questions (called prompt engineering), balance AI ideas with human know-how, and always double-check AI’s work. Brian has been working for 15 years in different industries like finance, healthcare, and technology. For example, “Here are three product ideas.
Generative AI has the potential to create economic impact within sales, marketing, software engineering & IT, customer operations, and R&D functions across various verticals. Industries such as high tech, banking, pharmaceuticals and medical products, education and telecommunications, healthcare, and insurance stand to gain immensely.
Large engineering organizations face a common problem – different teams working on different parts of a product can end up having specific domain knowledge, and even specific cultures, that can lead to silos. For instance, nearly a decade ago, Facebook established their engineering bootcamp program. What is an engineering tour?
including Scrum as a framework?—?work Therefore, the first question any aspiring agile startup should answer for itself is simple: is it a sales-driven, product-driven, or tech-driven enterprise? These are my lessons learned on making ‘agile’?—?including work in a fast-growing startup. Shall I notify you about articles like this one?
At Intercom, we use a framework called the Conversational Support Funnel to help us optimize the support experience for both our customers and our support team. These are the technical or sensitive queries that need a specialized, empathetic response. Ensure only complex queries reach your team using the Conversational Support Funnel.
Below, we'll show you how to write the perfect data engineering resume. ✅ Verified : This guide was written by Alex Reyes , a senior technical recruiter with 20+ years of experience. Balancing technical skills with soft skills, such as communication and critical thinking, boosts your resume.
At most companies, software engineers are in a constant state of rushing to get features and bug fixes out the door. This means product analytics can be seen as a burdensome afterthought for a lot of engineers —one that just adds more grind to an already packed schedule. Allow engineering to lay a strong analytics foundation.
An engineer could call out an assumption they didn’t believe was true or a designer could question whether the choices they were making (e.g. Next, their tech lead created some lo-fi mockups in FigJam. Summing up this second round, Kelsey says, “Because we were novices to the process, I think we over-engineered what we needed to do.”
In the next five years, around 48% are interested in employing AR and other metaverse technology to shop. With the advancement of technology, we are beginning to realize the promise of augmented reality apps. At this moment, we can only imagine what this technology will look like once we’ve maximized its potential. Check it out.
As up and coming engineers in Silicon Valley, Jean Hsu and Edmond Lau long sought more influence and impact in their respective positions – but they couldn’t shake the feeling of being stuck. Many engineers feel like they must make a jump into management to lead. Jean: Especially with engineering teams.
I enjoyed in-person meetings, especially in-person product review meetings. Early in the pandemic, this led me to resent virtual meetings, especially virtual product review meetings. This particular product review meeting was a breaking point. I struggled to figure out how to run the product review meeting effectively.
Our product engineers are empowered to build great features, fast. So we decided to do something contrary to our engineering principles – run our search infrastructure ourselves on Elastic Compute Cloud hosts, or EC2 as it’s known. In Intercom, we believe that shipping is our company’s heartbeat. persistent": {.
Amid this incessant search for perfection, two paradigms have become prominent: Test-driven development (TDD) and feature flag-driven development (FFDD). Test-driven development (TDD), a software development approach in which tests are written before the code, is akin to building a safety net before performing a daring tightrope act.
Instead, they look for patterns and frameworks that are widespread and valuable. There are plenty of solutions, and one of them is Start, Stop, Continue – a framework to structure a retrospective for a team, career or project. Thinking critically about frameworks. Consider adapting a framework to suit your current needs.
Today’s rapidly evolving tech landscape favors short feedback loops and requires roadmap flexibility to pivot and solve customers’ most pressing problems as they arise. Here’s how working with APIs and SDKs allows PMs (and the engineers they collaborate with) move faster than ever before.
That’s not to say that legacy technology isn’t a relevant factor anymore. Multiple industries employ outdated software in their core operations and only consider modernization when a critical technology in their stack becomes unsupported (for example, an older version of Java or PHP is sunsetted). Paying off technical debt.
There are enough stories of data breaches and cyber attacks to chill even the savviest security engineer to the core. An aerospace engineer turned entrepreneur, Adam learned early the best way to earn trust was proving you deserve it. How did you make the transition to compliance tech? Less than a year later, Drata was launched.
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