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Keep shopping50 Business Analysis Techniques Every Analyst Should Know
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4 students
50 Business Analysis Techniques Every Analyst Should Know
Learn 50 core business analysis techniques fast. Elicitation, modelling, prioritization, risk, and solution evaluation.
Created byNijat Hajiyev
Last updated 8/2026
English
What you'll learn
- Recognize 50 core business analysis techniques and identify which one fits the situation in front of you on a real project.
- Select the right elicitation approach among interviews, workshops, focus groups, observation, surveys, document analysis and brainstorming.
- Model requirements using process models, data models, state models, decision models, use cases, user stories and prototypes.
- Prioritize scope and evaluate solutions using estimation, financial analysis, risk analysis, acceptance criteria, metrics and KPIs.
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Course content
9 sections • 51 lectures • 1h 38m total length
Requirements
- No prior experience required. This course starts from zero.
- No software, licences or purchases needed. A browser and 100 minutes is enough.
- Helpful but not required: any exposure to a project, product or process at work.
Description
Most business analysis courses teach you five techniques and leave you to discover the rest on the job, usually in the middle of a workshop that is going badly.
This course does the opposite. In 100 minutes it walks you through 50 techniques used by business analysts, product owners and delivery teams across every industry, one focused lecture at a time. Each lecture answers three questions:
what the technique is,
what problem it solves, and
when you would reach for it instead of something else.
You will cover strategy techniques such as business cases, capability analysis, the business model canvas, SWOT and financial analysis. You will cover elicitation techniques including interviews, workshops, focus groups, observation, surveys, document analysis, brainstorming and collaborative games. You will cover requirements and modelling techniques including scope models, functional decomposition, interface analysis, non-functional requirements, use cases, user stories, acceptance criteria and prototyping. You will cover process and data techniques including process modelling, sequence diagrams, data models, data dictionaries, data flow diagrams, business rules and state models. You will cover decision and prioritization techniques including decision analysis, decision modelling, estimation, prioritization, risk analysis and root cause analysis. You will finish with backlog management, item tracking, reviews, lessons learned, metrics and KPIs.
The lectures are short and deliberately dense. Nothing is padded. You can watch the course straight through as a map of the profession, or treat it as a reference and jump to the one technique you need before a meeting.
No prior experience is required and no tools or purchases are needed. If you are considering business analysis as a career, preparing for interviews, or already working as an analyst and aware there are gaps in your toolkit, start here.
Who this course is for:
- Career changers and students who want a fast, complete map of what business analysts actually do before committing time or money to a longer programme.
- Junior and mid-level business analysts who use five techniques out of habit and want to see the other forty-five.
- Product owners, project managers, QA engineers, developers and consultants who sit in requirements conversations and want to name the technique being used instead of nodding along.
- Anyone preparing for business analyst interviews who needs to recall techniques quickly and explain them in plain language.