#quality ass

Let’s be honest, most B2B marketing feels like throwing darts in the dark and praying one hits the board. You send emails… you run ads… you post on LinkedIn…

And still, your “quality leads” look suspiciously like interns downloading eBooks for their MBA project. That’s exactly why more companies are ditching broad marketing for something razor-sharp: ABM Strategy.

And once you understand how it works, you’ll never look at B2B marketing the same way again.

So… What is ABM Strategy, Really?

Think of ABM as shifting from “Let me talk to everyone” to “Let me talk only to the accounts that actually matter.” Instead of chasing 10,000 leads, you chase the 100 who can literally change your revenue graph.

It’s targeted. It’s personal. And honestly, it just makes sense in 2026.

But here’s the twist: ABM is a framework, a mindset, and a discipline. I break down the 8-step ABM framework every B2B company should be using.

1. Start With the Right ICP (Don’t Skip!)

Your Ideal Customer Profile is not a fancy marketing term, it’s the compass. Without it, every ABM effort becomes chaos wrapped in confidence.

2. Target Accounts That Make Sense

Not all leads are created equal. Some accounts will drain your time. Some will change your quarterly numbers. The trick is knowing which is which.

3. Map the Humans Behind the Logo

You’re not selling to a company. You’re selling to a CEO, a finance head, an IT manager, and three other people who will argue about budget in a conference room.

Your ABM Strategy becomes powerful when you know all of them.

4. Personalisation = Gamechanger

The fastest way to lose a B2B buyer? Send a generic email that starts with “Greetings of the day.”

ABM is personal…Account level personal…Role level personal.

Quick Note on iFive Technology (If You’re Serious About ABM)

You cannot run ABM without a solid CRM backbone. This is where iFive CRM makes life ridiculously easier:

Stakeholder mapping

Account journeys

Segmentation

ABM automation

And clean data (bless this!)

If you’re planning to get serious about ABM, iFive CRM becomes your secret weapon.

Final Thoughts (And Your Next Step)

If this short intro opened up even one thought in your head like, “Damn, we’ve been doing this wrong,” then you need to read the full blog.

In the main blog, I explain the ENTIRE 8-step ABM Strategy framework, complete with practical examples and B2B insights.

Understanding Software Quality

What makes great software? It’s not just fancy features or spotless code but it’s about creating tools that people love to use and that treat everyone fairly. In the fast-changing world of software development, the idea of “quality” means much more than just working code.

From a technical perspective, Amy Ko.jo, in Cooperative Software Development, highlights key traits like correctness, reliability, robustness, performance and portability. These are the building blocks for good software, helping it stay free of buts, handle unexpected problems and work across different devices. In this article, we’ll explore how these traits play a big role in testing and finding buts which are critical for building reliable systems.

But software isn’t just about machines or computers but it’s also about people using it. A major part of software quality is making sure it doesn’t unfairly harm or exclude anyone. For example, Amy J. Ko explains, biased data or algorithms can lead to discrimination like reinforcing harmful stereotypes. Fixing these biases is a key part of building software that regards everyone equally.

The Quality of Open-Source Software

Open-Source Software has sparked a lively debate about its quality. On one side, supporters say OSS creates better products because of the way it’s built which is by a global community of developers working together. As Oleh Romanyuk explains in FreeCodeCamp’s article on the Pros and Cons of OSS, open-source software is shaped by thousands of contributors each bringing unique skills and experience from different industries and technologies. This mix of perspectives makes it easier to spot and fix problems quickly, which means the software becomes more reliable and functional over time.

Data backs up this claim. The Coverity Scan Open-Source Report shows that OSS often has fewer bugs per thousands of lines of code compared to proprietary software. Why? Because open-source projects are constantly reviewed and improved by many developers creating a kind of “always-on” quality control system.

But the story doesn’t end there. A blog post by the World Bank, Quality of Open-Source Software: How many Eyes are Enough? points out that bigger proprietary software projects often beat OSS in quality. The reason you ask. Big companies have dedicated teams of paid experts and structured processes to find and fix complex problems. These teams don’t just fix the obvious, but they tackle the tough ones that require deep knowledge of the software’s inner workings.

This brings up a challenge for open-source software projects. They often lack the consistent funding and organized workflows that proprietary software teams have. As Amy K. Jo explains in Cooperative Software Development, software quality isn’t just about the code but also how the code is created. While OSS does a great job fixing simpler bugs through teamwork, the harder to spot issues may require the resources and expertise that only a well-funded proprietary team can provide.

So, is open-source software better? The answer isn’t so simple. OSS thrives on collaboration, bringing together diverse ideas and talents to create something great. But proprietary software benefits from structure, funding and expert teams. Maybe the real takeaway is this: quality depends not just on the software itself but also on the people and process behind it.

The Role of Quality Assurance in OSS.

Open source thrives on community collaboration - volunteers from around the world contributing their time, skills and insights to develop, debug and enhance software. However, because open source operates on a voluntary basis, challenges like varying levels of expertise, inconsistent time commitments and the “release early, release often” philosophy can make quality assurance difficult. For open source to maintain high-quality standards, developers, quality engineers and users must work together  to ensure the software remains reliable and functional.

Continuous integration tools like Jenkins are essential in this process. Projects like Pulp use Jenkins to automate testing, monitor results and catch integration failures early. This helps ensure only stable, well-tested code reaches the end users. Automated test frameworks such as Pulp Smash further strengthen quality by allowing contributors to write flexible, portable tests that identify regression swiftly.

Community Test Days also play a key role. Projects like Fedora organize test days, inviting users to propose areas for testing, document their findings, and collaborate in forums like IRC channels. These test days empower users to become active participants in quality assurance, ensuring critical issues are identified and addressed. Additionally, Bug Triage days, like Foreman’s Bug Day, give users the chance to prioritize and resolve existing bugs, reducing the backlog of unresolved issues.

Through tools like continuous integration, automated testing, community test days and but triage, open-source projects can ensure high quality and maintain stability even in the face of decentralized development.

Addressing Bias in Open-Source Software: Overlooked Quality in OSS?

Bias in OSS development specially when it comes to gender, continuous to be a significant issue. Women are underrepresented in OSS and they miss out on a valuable development and professional opportunities. As new jobs open up, many women lack the experience needed to apply which can only continue this cycle. According to researchers like Anita Sarma and Steinmacher,  these problem may be build into the very tools used for OSS development which creates barriers that discourage women from participating.

Their research focuses on tools like Eclipse, Git, GitHub, Jira and Hudson, tools that weren’t always designed with divers users in mind. Steinmacher explains, “If someone implements a tool without considering a diverse set of user, they may include such kinds of bugs which affect one gender more that the other.”  The team plans  to use GenderMag, a method developed by Margaret Burnett to identify gender-biased barriers in these tool.   

To truly improve the quality of OSS, addressing bias requires a deliberate effort from a diverse group of contributors who bring a variety of perspectives to the table. By prioritizing inclusivity in design and testing, OSS can create software that works for everyone not just a select few. Without this focus, bias can undermine the overall quality and fairness of OSS, reducing its effectiveness and limiting its impact. In the end, addressing bias is not just about fairness but also about improving the overall quality of OSS and ensuring it works for everyone.

References

Ajko, A. (n.d.). Cooperative software development: Quality. University of Washington. Retrieved from https://faculty.washington.edu/ajko/books/cooperative-software-development/quality

Gibbons, S. (2021, December 29). What is great about developing open source and what is not? FreeCodeCamp. Retrieved from https://www.freecodecamp.org/news/what-is-great-about-developing-open-source-and-what-is-not/

Black Duck Software. (n.d.). Coverity Scan: Open source. Retrieved from https://www.blackduck.com/

M. K. (2019, May 28). The quality of open source software: How many eyes are enough? World Bank Blogs. Retrieved from https://blogs.worldbank.org/en/opendata/quality-open-source-software-how-many-eyes-are-enough

YES

taekfuckingwoon replied to your post: should I change url to ke...

Yes, also is that ken’s butt as your icon?

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