3. Getting Started
AI reconstructed article. This title appeared in the archived Getting Started collection, but the original article body was not available as a 200 snapshot in Wayback's CDX index.
Once you have created your account and team, Upperstory gives you a simple workspace for turning assumptions into experiments and experiments into evidence. The first thing to do is orient yourself around the main parts of the product.
Your Team
Your Team is the shared space where goals, experiments, evidence and learning are stored. If you are working with others, invite them early so everyone can see the same source of truth and contribute to the learning.
Goals
Goals describe the focus, objective or outcome you are trying to achieve. They help your team understand why an experiment matters and what business question it is connected to.
A good first Goal is specific enough to guide action. For example, instead of creating a broad goal like “Improve product”, create something closer to “Understand whether small business owners will pay for automated reporting”.
Experiments
Experiments are the small tests you run to validate an idea or assumption. Each experiment should have a clear purpose, a hypothesis, and a link back to a Goal.
You can keep early ideas in your backlog, then move them to Active when the team is ready to run them.
Evidence
Evidence is what you collect while running an experiment. It might come from customer interviews, conversations, observations, landing page tests, prototype feedback, sales calls or other actions that help you understand what is true.
A simple first workflow
- Create a Goal that describes what you want to understand.
- Add one experiment that could validate an important assumption.
- Set the experiment to Active when you begin working on it.
- Add notes and evidence as you learn.
- Use the evidence to mark the experiment Valid or Invalid.
- Create the next experiment based on what you learned.
What to do next
Start by adding your first Goal, then create an experiment inside it. Keep the experiment small enough that your team can learn something useful quickly.