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Using the power and interest grid for stakeholder management

Product management is all about stakeholder management and buy-in from the right stakeholders only happens when you have the right resources and support. One tool that makes stakeholder management more tangible is the power and interest grid, a 2x2 matrix that differentiates four main groups of stakeholders based on interest and power. By identifying the level of power and interest of each stakeholder, you’ll end up with four segments of stakeholders: high power and high interest, high power and low interest, low power and high interest, and low power and low interest.
The power and interest grid is ideal for stakeholder management due to its simplicity and efficiency, and evaluating stakeholders by two criteria helps you determine your tailored strategy for each of the four segments.
It's a good idea to map some stakeholders as groups if you are working with larger organizations, especially engineering managers who show roughly similar influence and interest, so the grid will be more readable and easier to use than if you had mapped everyone individually.
It's crucial to have a clear strategy on how you’ll interact with a particular quadrant to truly benefit from using the power and interest grid, e.g., continuous stakeholder interviews for key stakeholders while a dedicated email thread might be enough for high-interest and low-power people.
Reviewing the power and interest grid monthly is essential, as people’s influence and interest change over time. While you don’t require being 100 percent up-to-date with every single stakeholder, ensure you always know who your key stakeholders are.
If specific stakeholder segments are uninterested, then make them interested by explaining how the initiative can help them and why it’s crucial for them to care about its success.
The power and interest grid is an extremely efficient approach, but it covers only one side of the stakeholder management process. Combine stakeholder identification (e.g., power and interest grid) with stakeholder engagement to master stakeholder management.

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Dev

330

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CodeChecker - code quality control using PVS-Studio

CodeChecker is an open-source quality control tool on Linux and macOS that supports many code analyzers for various languages. CodeChecker has recently added support for the PVS-Studio analyzer which this article guides readers through the installation process and demonstrates how to use the tool with the PVS-Studio static code analyzer.
CodeChecker requires a Python interpreter of version 3.8 or later which is distributed as a Python package. After creating a Python virtual environment, install the codechecker package and PVS-Studio's latest version of report-converter component into the created virtual environment.
CodeChecker uses its own report format, so you need to convert the PVS-Studio analyzer report into it. CodeChecker's built-in tool—report-converter—can convert the PVS-Studio report into CodeChecker's format.
After the PVS-Studio report is converted into the CodeChecker format, save it to the server by running the command, 'CodeChecker store ./pvs_studio_reports -n default' and a run named default appears on the default product page.
CodeChecker web interface enables filtering of analyzer warnings by various parameters like certainty level, diagnostic rule name, etc.
CodeChecker allows the user to markup warnings by setting reviewed statuses for warnings such as confirmed bug, false positive, and intentional. This enables you to differentiate between true, false, and issues which don't require fixing.
Besides CodeChecker, the PVS-Studio static analyzer integrates into such code quality control systems as SonarQube and DefectDojo.
Keeping code clean and tidy is an important task that requires the best tools for maintaining code quality. CodeChecker is an excellent interface for viewing and marking warnings of analyzers, including PVS-Studio.
PVS-Studio also offers a free trial that enables a user to integrate it into their software development life cycle to avoid common coding errors and inefficiencies.

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Dev

214

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I RATE JAVASCRIPT FRAMEWORKS ⭐⭐⭐

React: B tier - Easy to learn, but hooks can be difficult for beginners
NextJS: A tier - Offers server-side rendering for better website performance
Angular: C tier - Great features but difficult to learn, better suited for experienced developers
Vue: A tier - Easier to learn UI component framework, comparable to React

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Dev

236

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Building a Random Quote Generator with API Using HTML, CSS, and JavaScript

Learn how to create a Random Quote Generator with API using HTML, CSS, and JavaScript
The tutorial provides step-by-step instructions on integrating APIs into projects and creating engaging user experiences
By the end of the tutorial, you'll have a Random Quote generator that you can use in your own development environment
Subscribe to the YouTube channel for more tutorials on Full Stack development and innovative ways of learning

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Medium

419

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Stable Swap on STON.fi : A Game-Changer in DeFi

Trading stablecoins on STONFI is efficient and optimized for stable assets, ensuring lower price impact, reduced trading fees, and better rates for traders.
Stable Swap on STONFI offers benefits like improved liquidity, reduced slippage, lower fees, and increased security.
Stable Swap on STONFI is a game-changing innovation in the DeFi space, providing efficient trading, minimal slippage, and reduced fees.
Whether you're a seasoned trader or just starting out, Stable Swap on STONFI is worth checking out for trading stablecoins.

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Dev

142

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AdventJS: 25 Programming Challenges in JavaScript and Python! [Free]

AdventJS 2024 is here, featuring daily programming challenges throughout December in JavaScript, TypeScript, and Python.
Participants can improve their programming skills, earn achievements, and interact with a global community of programmers.
Challenges are designed to be entertaining and challenging, with the opportunity to learn from other developers' solutions.
Join AdventJS for free and embark on this exciting programming adventure!

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Dev

276

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Finding and Validating Unused Security Groups in AWS with Python and Boto3

Unused security groups in AWS can accumulate over time and pose security risks or increase costs. This article describes how to use Python and Boto3 to identify and validate unused security groups and ensure that they are not being referenced by any other resources.
The article walks through the code that identifies unused security groups in a given AWS region, validates them, and checks if they are referenced by any other groups.
The code first retrieves all security groups and network interfaces in the specified region and creates a set of security groups that are in use.
It then identifies and lists all the unused security groups in the region and checks if any other security group references it in their rules.
The code helps to automate the process of finding unused security groups in AWS and ensure that unnecessary resources are removed. It can help reduce clutter, improve security posture, and potentially lower costs.
The script can be further extended to add filters based on tags, VPCs, or other criteria to implement more advanced reporting or alerting when unused groups are detected.
The article requires an AWS account, Boto3, and credentials configured either using the AWS CLI or directly using IAM roles or environment variables.
The script can be executed by running the validate_unused_groups function.
The script outputs whether the unused security group is referenced or not and whether it can be safely deleted.
You can extend the script to integrate with AWS Lambda for automated, scheduled checks.

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Python Blogs

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Can You Still Display Group Tags in CS2? A Complete Guide

Group tags are a method of organizing content within CS2 and symbolize the interconnectedness of communities and the collaborative spirit that thrives in the digital landscape.
Group tags offer a sense of belonging and recognition within vast online ecosystems and enrich personal gaming journeys while strengthening community bonds that elevate the overall multiplayer experience.
Group tags serve as an essential navigational tool in Counter-Strike 2 (CS2), offering players a streamlined way to organize their experiences and identify fellow gamers.
To display group tags in CS2, first navigate to the settings menu where customization options reside, and look for a section labeled “Group Management” or “Tags.”
When considering how to display group tags effectively in CS2, it’s vital to prioritize clarity and visual hierarchy.
Display issues in Creative Suite 2 (CS2) can be frustrating; updating graphics drivers, calibrating the monitor, and keeping an organized workspace minimize clutter on-screen for better tag visibility.
While traditional group tags served as handy shortcuts for identification and interaction, emerging alternatives such as dynamic interest-based groups or AI-driven recommendations based on user behavior and interactions promise a richer tapestry of connections that foster deeper engagement among community members.
Understanding how to effectively display and manage group tags not only enhances user experience but also fosters a sense of belonging among members and serves as beacons of interest, guiding users toward relevant discussions.
There is potential for enhanced functionalities surrounding group tags in upcoming updates or iterations beyond CS2, which will empower users to curate their experiences actively and highlight the diversity within their interests.
By leveraging the full potential of group tags, we can transform our digital interactions from mere transactions into vibrant conversations that resonate deeply with community values.

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Medium

415

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What’s causing the rise in Dogecoin’s value today?

Dogecoin, the meme coin, has risen by 6% today, indicating potential new all-time highs.
On-chain and technical metrics suggest significant growth for Dogecoin.
The rise in Dogecoin's value is more than just hype and could reach unprecedented levels.
Investors should prepare for a roller coaster ride as Dogecoin continues to entertain and surprise.

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24 Likes

Dev

102

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The Most Awaited Prisma Course Is Here! 😍

Mastering Prisma with Next.js 15 is a beginner-friendly course designed to elevate your Prisma skills.
The course covers core Prisma concepts, setting up and managing a database, and integrating Prisma with Next.js 15.
For a limited time, the course is available for $8 / ₹640 (regular price: $15 / ₹1200).
No prior experience with Prisma is required, and a Certificate of Completion is provided upon finishing the course.

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Dev

307

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useContext in React

useContext is a great way to pass props from a global state to all its children components in React. It eliminates 'prop drilling', which can be messy and frustrating, especially with deeply-nested components.
To use useContext, we need to create a context object
We define the context using the createContext() method
We set up the UserProvider component to manage the user state and provide it to the child components using the useContext hook.

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Dev

357

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This Week In React #213 : React 19, Next.js, React Compiler, React Router, Restyle, State of RN, Uniffi...

React 19 is officially stable with new features including pre-warming and new React-DOM static APIs.
The State of React Native 2024 survey is live. Share insights on trends, tools, and challenges.
Rust-powered Uniffi for React Native integrates Rust with Turbo Modules.
Tools like Uniffi for React Native and Dioxus are paving the way for more powerful, cross-platform experiences.
React Bricks – the Visual CMS for React got more accessible with lower entry price and flexible pay-as-you-go options.
Next.js Multi Zones allow for scalable micro-frontends and easy deployment for large teams.
Restyle 3.0 is a very lightweight CSS-in-JS lib for React which uses the new React 19 metadata APIs.
@lingui/metro-transformer eliminates the need to precompile .po translation files by handling compilation during Metro bundling.
React Native Fast IO pre-release is a high-performance I/O solution for React Native.
Dioxus 0.6 is a Rust fullstack cross-platform app framework which adds many new features.

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Dev

174

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My React Journey: Day 17

Errors are inevitable during program execution, but they can be effectively managed with proper handling techniques.
Common types of errors include network errors, promise rejection, and security errors.
Error handling methods include the try...catch...finally structure.
Best practices for error handling include using descriptive error messages, using finally for cleanup tasks, catching specific errors, and avoiding silent failures.

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Dev

263

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Mastering Rust Enums: Powerful Type System Features for Efficient Code

Rust's enums are a cornerstone of the language's type system, offering a level of expressiveness and safety that sets them apart from similar constructs in other programming languages.
Rust allows us to associate data with each variant of enums, allowing us to create rich, expressive data structures that can represent complex states and patterns.
The match expression allows us to compare a value against a series of patterns and execute code based on which pattern matches.
Enums in Rust can also be used to implement the visitor pattern, a common design pattern in object-oriented programming.
Rust's enums support generics, allowing us to create flexible, reusable data structures like Result.
One of the most powerful applications of enums in Rust is in creating state machines.
The ability to define methods on enums in Rust allows us to associate behavior with our type, similar to how we might use classes in object-oriented languages.
Rust's enums eliminate null pointer errors, a common source of bugs in many other languages.
Rust's enums are a powerful feature that combines the best aspects of algebraic data types from functional programming languages with the performance and low-level control that Rust is known for.
Enums in Rust go far beyond simple enumerated types, providing a foundation for expressing complex ideas in a way that the compiler can understand and verify.

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Medium

227

The Evolution and Significance of Shoes

The history of shoes dates back to ancient times, with the first known footwear appearing around 10,000 years ago.
Early shoes were made from natural materials like leather, bark, and plant fibers, primarily serving the purpose of protection.
In ancient Greece, footwear became more sophisticated with the incorporation of straps and elaborate designs, reflecting societal complexity.
The Industrial Revolution in the 19th century marked a significant shift in shoe manufacturing, leading to specialized footwear for different purposes.

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