Está haciendo malabarismos con correcciones de errores y nuevas funciones con plazos ajustados. ¿Cómo se decide qué tiene prioridad?

In the dynamic world of software development, balancing bug fixes and new feature development is a perennial challenge. With tight deadlines and high client expectations, making the right decisions on what takes precedence can make or break a project. This article explores effective strategies to prioritize tasks and maintain a balance between addressing bugs and delivering new features. Understanding the Impact of Bugs vs. Features : 1. Bug Fixes : Unresolved bugs fixes. 2. New Features: New features Needed. Prioritization Strategies : 1. Assess the Severity of Bugs. 2. Evaluate the Value of New Features. 3. Adopt a Balanced Approach. 4. Involve Stakeholders in Decision Making. 5. Implement an Effective Tracking System.

Severity of Bugs: - Critical Bugs: Fix immediately if they cause crashes, data loss, security vulnerabilities, or major functionality issues. - High Impact Bugs: Prioritize these if they affect a large portion of users or essential features. - Low Impact Bugs: Schedule these for later if they cause minor inconveniences or have workarounds. Value of New Features: - High Impact Features: Prioritize features that align with business goals, provide significant user benefits, or have high market demand. - Low Impact Features: Defer features with marginal benefits or those that don't align with current strategic priorities.

Start with classifying the bug, if the bug is low priority, new feature takes precedence. The priority depends on how the bug disrupts the revenue, such as what percentage of users are impacted (analytics) or if a work around is possible like what's the severity of impact.

I therefore prioritize based on how it impacts user experience and the goals of the project when balancing bug fixes versus new features while working under tight deadlines. First to deal with are those critical bugs that impede functionality and satisfaction, then features that most closely align with strategic objectives.

Balancing bug fixes and new features with tight deadlines is like running a bustling coffee shop. Imagine your app has a critical bug causing payment failures, affecting all users trying to make purchases. This issue takes priority because it impacts revenue. Simultaneously, you have a deadline for a new feature allowing users to personalize profiles, boosting engagement. You prioritize fixing the bug first, reallocating resources to ensure it’s resolved quickly, like fixing a broken espresso machine before trying a new latte flavor. By addressing the bug, you ensure smooth operations while progressing on the new feature, keeping users happy and maintaining business goals.

User feedback, while valuable, should not be as large of a consideration as quantitative data during tight deadlines. Evaluating user feedback as qualitative data is incredibly valuable early in the software development process, in the discovery phase, when your team determines what to build, how to build it, and the associated development strategy. When you're under tight deadlines, lean more on quantitative data provided via analytics. Quantitative data will tell you actual user behavior and the frequency with which users engage with specific functionality. You will have concrete data to point to in your prioritization efforts. User feedback and qualitative data, while valuable, takes time. In tight deadlines, rely on quantitative data

Leverage user feedback to guide your priorities. Regularly review bug reports, user reviews, and support tickets to identify the most pressing issues users face. Addressing high-priority feedback can significantly enhance user satisfaction and loyalty. Prioritize fixes and features that directly respond to user needs and complaints, showing a user-centric approach in your development process.

I like to pay attention to user feedback. Users are usually the first to spot bugs and suggest features they want after realse. By prioritizing the issues and features they frequently mention, we can improve the product in ways that matter most to them. For example, if multiple users report a bug that crashes the app, we need to fix that first. At the same time, if many users request a new feature like dark mode, we must adding it too. This approach not only makes the product better but also shows users that we respect them and their comments, building a positive relationship and loyalty.

It is very tricky this one... most times I am pushed to work on bugs I see and encounter as a developer, but the truth is the users'/clients' feedback are the most important in the software development world. They are the ones that experience and spend the most time using the app. A flow may seem weird to you at hindsight but if the users/clients are happy, then it means you're doing something right.

Listening to user feedback is one of the most important components to building great products. However, as you scale, it becomes harder and harder to keep the feedback loop open. There are also situations where users might not be vocal about issues that they face. In those scenarios, using an event-driven analysis with tools like Mixpanel (or opensource analysis tools) is a superb way to find hidden user insights and learn directly from what they are doing vs what they say they will do

For most of us, software is not the main business. The software enables/supports the main business of the firm. E.g. In a bank. Consequently, the decision on what to prioritise should be aligned to business goals. This ensures that the software development team has the highest possible impact to the firm's success.

Leveraging business goals is a key factor in deciding what takes precedence. Here’s how to do it: Align with Strategic Objectives: Ensure that your priorities align with the company’s strategic goals. Tasks that support critical business objectives, such as market expansion, revenue growth, or customer retention, should be at the top of your list. Evaluate Impact on Revenue: Prioritize bug fixes and features based on their potential impact on revenue. Features that drive sales or customer acquisition, and critical bug fixes that prevent revenue loss, should take precedence. Customer Satisfaction and Retention: Focus on tasks that enhance customer satisfaction and retention.

Yes, our decisions must be aligned with the company's business goals. Our product must supports the overall strategy. For instance, if fixing a bug is crucial for retaining customers or meeting compliance requirements, we have to prioritize it. Also, if a new feature is expected to significantly boost revenue or user growth, we might focus on it even if there are some less critical bugs. For example, if a bug affecting a small feature but adding a payment option can drive more sales, we must prioritize the payment option to meet our business objectives.

The key purpose of developing a software is to to fulfill business goals, bugs needs to be classified based on priority if its a major one crashing a flow else if its not impacting the business it should be kept on hold, on the other hand if a new feature is a hurdle and impacting needs of business it should be the top priority , although development is a continuous process and no product is bug free it just needs to function at the time of need

It's important to consider the bigger picture.. the business goals. If a bug fix or a new feature aligns with the company's main objectives, such as improving customer satisfaction or driving revenue, it's likely to be a priority. So, when deciding between bug fixes and new features, think about how each task contributes to the company's goals and prioritize accordingly.

There’s rarely a time when resolving tech debt is high up a project or product manager’s todo list, but when new functionality or features are required you can normally address some as part of the implementation. Moving the maintenance from being a nebulous burden that might be tackled one day, to an enabler that reduces the time estimates to deliver the required feature becomes a win for all. Strategising to tackle tech debt isn’t always possible as part of project work, however it’s hard not to find opportunity when thinking laterally in a tired and poorly maintained codebase. Once the low hanging fruit of tech debt is tackled it becomes a challenge of balancing cost and agility with stakeholders. Not just to add but to secure & patch.

Address underlying technical issues before adding new features. Fixing long-standing bugs can improve system stability and performance, making it easier to build new features later. Prevent small issues from becoming bigger problems. 🏊♂️🏚️

In my internship roles, I proactively addressed technical debt to ensure long-term software quality. For example, during my Full Stack Product Developer internship, I refactored a Python compiler, reducing its size and improving performance by 15%, which contributed to maintainability and faster load times. Additionally, my work in analyzing 5G network vulnerabilities involved identifying and addressing technical weaknesses, enhancing overall network security. My approach consistently balances immediate needs with long-term maintainability, prioritizing solutions that reduce technical debt.

Addressing technical debt is crucial for long-term software success; it involves refactoring code and improving features to avoid future complications. Investing in reducing technical debt can prevent larger issues later and ensure the maintainability and stability of the software.

Consider the long-term implications of technical debt. Addressing technical debt early can prevent more significant issues in the future. If a bug is a symptom of underlying technical debt, it might be wise to tackle it sooner rather than later.

As I see both maintainance of product and new feature development are important and critical for income. Better way is to have 2 small teams to continue both parallelly. We can not leave any of them out. Bug fixing is not a project but contineous operations, where as new deveopment is a project with fixed target dates. Both should be dealt with a different project management strategies. So have 2 teams to focus on both and it is good if the teams are flexible to move based on urgency. Both teams need core skills of hte product hence it is a good idea to keep moving them from one to the other at a logical milestone.

How to make those tough calls by allocating your team's skills strategically. By matching the right people to the right tasks, you can keep your project on track and deliver high-quality results. By strategically allocating your team's skills, you can ensure critical tasks are handled by the right folks, keeping your projects on track and bug-free.

In my internship experiences, I’ve effectively managed resource allocation to maximize outcomes. As a Full Stack Product Developer Intern, I worked on a high-impact project, optimizing a Python compiler by distributing tasks based on team members' expertise, which led to a 25% increase in user engagement. Similarly, during my R&D internship, I focused on critical network security issues, reallocating resources as needed to address vulnerabilities promptly. My approach ensures that tasks are assigned based on expertise, enhancing both efficiency and quality of results.

Yes resource allocation is crucial. we must evaluate team's skills and assign tasks based on their expertise, ensuring that the most capable team members handle high-priority bugs or feature developments. This approach speeds up the process and results in higher quality outcomes. For example, critical and important bugs need reallocate resources from feature development to fix the bug quickly, we should meet our deadlines efficiently.

Planning resource allocation for bug fixes early in the cycle will help. Pulling out resources for bug fixing in an ad-hoc manner impacts productivity and morale. Resource allocation % can be planned in advance to avoid resources doing over-time continuously.

In my roles, I’ve prioritized risk management to ensure software stability. For instance, during my R&D internship, I identified and mitigated critical security vulnerabilities in a 5G network, significantly improving network security. When working on the Python Virtual Lab project, I carefully tested new features to avoid introducing risks that could affect performance. My approach involves assessing potential risks and prioritizing tasks that safeguard software reliability and security, balancing immediate fixes with careful implementation of new features.

In this situations, I think about the potential risks of not fixing a bug or delaying a feature. For example, if a bug poses a security risk or could cause significant data loss, it becomes the top priority. On the other hand, if a new feature might introduce new risks, we must carefully assess and test it before deciding to deploy it. Balancing these risks helps ensure the stability and reliability of the software, making sure we avoid major problems and keep everything running smoothly.

Evaluate the potential risks of not addressing an issue. High-risk bugs that could cause data loss or significant downtime should be prioritized. Low-risk issues can be deferred until more critical problems are resolved. 🎲🔪

Risk management is crucial to decide an action. It’s important to know what the business can lose if that bug or feature wasnt solved/done. Having this in mind, it’s possible make an action.

1. Likelihood of Occurrence: Focus on tasks that address risks with a high probability of occurring, as these are more likely to impact project outcomes. 2. Impact Severity: Prioritize risks that could cause significant harm or disruption to the project, such as severe bugs or critical system failures. 3. Mitigation Strategies: Implement solutions for risks that have feasible mitigation strategies, ensuring that the chosen approach effectively reduces risk. 4. Regulatory and Compliance: Address risks related to legal or compliance requirements to avoid potential legal issues or fines. Balancing these factors helps in minimizing the potential negative impact on project objectives.

Based on my experience in relatively large organizations, if budget permits, allocate separate teams as follows: 1. Software Engineering Development Team/s This group develops new features that add business value. Depending on product complexity and customer base, this journey may consist of multiple agile teams. 2. Critical Field Support Team/s This team is dedicated to resolve critical field issues and/or outages. There may be times when this field support team has spare cycles to develop smaller features that are needed quickly. However, in my recent leadership roles, the above responsibilities have been streamlined into one agile team, where developers take ownership to write, test and support their code from start to finish.

Practical Steps to Implement this Approach: Create a Prioritization Matrix: Use a matrix to score tasks based on impact, urgency, severity, and alignment with goals. Daily Stand-ups: Hold brief daily meetings to priorities based on new developments or feedback. Kanban Board: Use a visual tool like a Kanban board to track tasks and their priority status. Time Blocking: Allocate specific times for high-priority tasks, ensuring dedicated focus periods. Regular Reviews: Schedule regular reviews to adjust priorities based on progress and changing circumstances. By systematically evaluate tasks against the criteria, make informed that balance immediate needs the long-term goals, ensuring that most critical work is completed on time.

When juggling bug fixes and new features with tight deadlines, there’s more to consider than just the technical work. In the early 90s, we didn’t have time for Waterfall. Instead, we released software whenever we believed it was ready—sometimes daily. This approach caught misunderstandings quickly, avoiding the risk of long delays. Good communication remains key. Today, specialists often focus too narrowly. As leaders, we must ensure everyone sees the bigger picture. With tools like Mendix and AI, we must connect technical solutions with business needs. Better communication and broader thinking will help us deliver results that truly matter.

Regularly review priorities and be flexible. Sometimes unexpected issues arise that need immediate attention. Maintain open communication with your team and stakeholders to ensure everyone is aligned on what’s most important. 🐕

Reducing your analysis to a single variable for prioritization often leads to biased and unsatisfactory outcomes. On the flip side, saying that multiple factors need to be addressed without a consistent and prescriptive approach leads to addressing the needs of those who make the most noise. Instead, consider BOTH business value and risk. Understand how the business defines these variables. These could be in terms of revenue, client satisfaction, feasibility, and so on. Be educated and consistent. Then consider the high value/high risk items first. Work your way down to low value/low risk items. Communicate your intention. If there are questions about why something was delayed, you have a rational explanation to defend the decision.