Summary key points and aretifacts from Keeping Real talk about the importance of real world data in examples to enhance collaboration

1. Keeping it Real

2. Learning Outcomes

3. Most votes for removing misunderstandings
around requirements

4. A BDD example is no better than a
requirement if it’s still ambiguous.
If it is still ambiguous it is not a
good example.

5. Create Data Personas.
Give your test data a
personality.

6. Our Data Personas

7. Our Data Personas

8. The value of the example
is in the data used to drive
the example

9. The Data is the Hero

10. The purpose of a Minimum
Viable Product is to start the
learning process as early as
possible

11. Use real world examples to
support the ‘How?’ as well as
the ‘What?’