Aug 23, 2026
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This article proposes five practitioner frameworks for specifying agentic systems: the Agentic Requirements Stack, the Autonomy Boundary Canvas, Tool Contract Specification, the Escalation and Handoff Matrix, and the Agentic Traceability Ledger. Each is illustrated through a running hypothetical cas...
This article proposes five practitioner frameworks for specifying agentic systems: the Agentic Requirements Stack, the Autonomy Boundary Canvas, Tool Contract Specification, the Es...
Have you ever wondered, what is a learning state? Or what connection does it have with peripheral vision? Have you ever tried to model excellence through role models? Can you remem...
User stories can describe what an AI agent should accomplish—but they rarely define how much authority it should have, when it must stop, or who is accountable when it gets a...

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There is much to say about the often challenged relationship between IT and “the business” that has existed since IT became IT. Centralization, decentralization, self-service tools and applications, enterprise tools and applications – the pendulum swings again and again.  You’d think by now that we’d get it. There is no one all-encompassing data management or BI solution that will satisfy all of your data related requirements.

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In this article, I am going to focus on the key 3 tools that you can use to help you identify the pain points in your workflow.  One of the key things to identify when working in a visual manner is understanding where your blockers are. It is only when you have identified these blockers, you then able to do something about them. There is no use trying to change something when you don’t have the evidence to baseline the problem. As business analysts, we wouldn’t tell the business where the problems are without conducting a thorough root cause analysis. So, why do we do it at work, why do we think without evidence we know exactly what the problem is and the impact it has on. 

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The purpose of this article is to cite an example of using Lean-Agile project management for a small home construction project – a bathroom remodel. The remodeling firm unknowingly uses a Lean-Agile project approach that was the result of lessons learned over years of experience. In fact, when I questioned the remodeling firm about Lean-Agile, the firm’s response was “What is that?” Regardless of what you call it, the firm uses their construction approach because it works.

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Somebody inquired to me in one of the professional networking site if I can suggest what the difference between a Business analyst and data analyst is.

This is a dilemma that is common in the minds of numerous professionals who are new to Business analysis or intending to get into this space.

As the name proposes a first hand analysis by any layman will state that the business analyst role includes analysis from a business perspective, though the data analyst role deals with primarily analyzing data.

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In order for any project or initiative to be successful, an agreed upon business need must be determined. This need may present itself as a problem or an opportunity. Business Analysts must be able to guide the business in articulating which of these is the catalyst for the initiative prior to starting any BA work. Projects without a clearly defined business need get drawn out due to issues such as increased stakeholder conflict, poorly defined requirements, and excessive rework. So, to save you some pain and effort, below are some reasons why defining the business need is a critical starting point for any organizational change.

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Templates & Aides

Templates & AidesTemplates & Aides: find and share business analysis templates as well as other useful aides (cheat sheets, posters, reference guides) in our Templates & Aides repository.  Here are some examples:
* Requirements Template
* Use Case Template
* BPMN Cheat Sheet

Community Blog - Latest Posts

The Shift Toward Intelligence‑Driven Insurance Operations AI‑powered process improvement is rapidly reshaping the insurance industry, equipping Business Analysts with a new and powerful toolkit to address long‑standing inefficiencies across claims, underwriting, policy administration, and customer servicing. Insurance operations are traditionall...
Business analysis work has become faster and more efficient over the past few years. Requirements are documented more quickly, discussions are summarized sooner, and solution options are produced earlier in the delivery cycle than ever before. Yet many Agile and product teams are discovering an unexpected truth: as delivery accelerates, the importa...
In a competitive and rapidly evolving financial landscape, understanding member needs is vital to maintaining strong relationships and delivering meaningful value. Yet for many institutions, especially those with legacy processes, collecting structured member feedback can be surprisingly underdeveloped. This was the case at the Federal Home Loan Ba...

 



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