The 3-Question Framework
Before opening SQL, Python, or your BI tool, answer these 3 questions to give your analysis real direction
A short framework for avoiding analyses that are correct but useless. Define audience, hero metric, and expected action before you start.
For years I built dashboards that were used once and then died.
There are analyses that are correct and still don't do much. Not because the data is wrong, but because nobody clearly defined who they were for, what the hero metric was, or what should happen after seeing them.
This PDF captures the turning point: before opening SQL, Python, or your BI tool, ask yourself three questions. Who is going to see this, and what decision do they need to make. What is the number that matters most. What do I want them to do after seeing this.
It's a small framework, but it completely changes how you approach analyses, dashboards, and reports for real stakeholders. It also works really well when the stakeholder's request is still vague and needs structure before producing unnecessary work.
Useful for anyone who works with analysis, dashboards, reporting, visualization, or data storytelling and wants to avoid deliverables without focus.
¿Qué incluye?
- Short, easy-to-apply framework before any analysis
- Defines who will see the analysis, what decision matters, and what action it should trigger
- Includes a real-world example in an institutional context
- Helps ground ambiguous stakeholder requests
- Ideal for analysts who want to communicate with more clarity
Ideal para
Beneficios
- Gives direction to any analysis before you start
- Reduces unfocused technical work
- Improves dashboards, reports, and storytelling pieces
- Helps identify the hero metric
- Connects the analysis with a concrete action
Contenido
- 01 The 3 questions
- 02 The framework in action: a real example
- 03 How to use this framework today
- 04 Where to go next
Recursos relacionados
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Preguntas frecuentes
How do I start a data analysis?
Before analyzing, define who will see the result, what decision they need to make, and what the main metric is that should guide the conversation.
What questions should I ask before creating a dashboard?
The most important ones are: who will use it, what decision does it enable, and what is the hero metric that should stand out.
What is this framework for?
It helps you avoid directionless analyses and focus dashboards, reports, and presentations on a concrete decision.
Does this framework work for data storytelling?
Yes. It helps define the narrative focus of the analysis before moving to visualization, structure, or presentation.
¿Cómo recibo el producto?
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¿Las actualizaciones son gratis?
Sí. Todas las actualizaciones futuras están incluidas sin costo extra.
¿En qué formato está la guía?
PDF, para que puedas leerla en computadora, tablet o celular.