# What does good look like?

**DOING THE RIGHT THING AND DOING IT THE RIGHT WAY**

As with anything we do, inceptions are based on **principles and paradigms** that we know make the difference:<br>

* We validate that our solution is **desirable, viable** and **feasible**. Note that we use discoveries to find opportunities and define valid value propositions, and then inceptions to further validate these and find the best way of delivering.
* We deliver the most valuable outcomes when we focus on **problem / opportunity** and **solution / outcomes**.
* We achieve this by applying **product thinking** to focus us on the user; **lean** principles to work efficiently, and **agile** approaches to deliver in an environment of change and uncertainty.
* We gain certainty by forming **hypotheses** and validating these by **running experiments** that capture qualitative and quantitative data.
* We deliver most successfully when all stakeholders are **aligned**, **risks** are identified and mitigated early, and **trust** within the team is high.

> ### *These principles are woven through everything we do during an inception – as well as the subsequent delivery and operations work.*

**THE OUTCOME OF A SUCCESSFUL INCEPTION**

By following these principles, we aim to gain confidence that

* We are doing the right thing
* We will be doing it in the right way
* We know what to do next
* We can hit the ground running
* We have minimised risk as much as possible

We know we have been successful when we can continue on to deliver with greater confidence and ease.

We may also want to periodically review our understanding and whether we are on track.<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://playbooks.equalexperts.com/inceptions/introduction/what-does-good-look-like.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
