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updated what is a scenario
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mdcanzoneri committed Feb 24, 2016
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2 changes: 1 addition & 1 deletion contributing/index.rst
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Expand Up @@ -4,7 +4,7 @@ Contributing to these Docs
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.. toctree::
:maxdepth: 2
:maxdepth: 2

This intends to be a living document which will evolve as new features and functionality is added to Ptero. The Ptero team attempts to keep it as up to date as possible, but input and clarifications are welcomed by the community.

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29 changes: 9 additions & 20 deletions scenarios/what.rst
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Expand Up @@ -4,7 +4,7 @@ What is a Scenario?
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.. toctree::
:maxdepth: 2
:maxdepth: 2

The Ptero *Scenario* is the basic building block of Ptero analyis, so it is important to understand how to create Scenarios and what they encapsulate.

Expand All @@ -21,7 +21,10 @@ Finally, *B* can be any event which occurs in your app, game or product and is r

With these example events, you'd have a Scenario to explore "What leads from registration to trial-converted?".

To build any Scenario, you must simply choose a start event and target event. Ptero takes over from there.
To build any Scenario, you must simply choose a start event and target event. Ptero takes over from there.

.. image:: create-scenario.png


Example Scenarios
======================
Expand All @@ -31,27 +34,13 @@ Some Scenarios may be about the user acquisition and **conversion** process:
* For a web app with a trial, a scenario from trial start to trial conversion.
* For a fremium app, look at users who register and then later upgraded to a paid plan.
* For a mobile game, look at users who installed the app and then made an in-app purchase.
* For a ...

Or, Scenarios may be about **adoption** of particular features:

* For a chat app, ...
* For a recipe sharing site, ...
* For a fantasy sports app, ...
* For a ...
* For a chat app, look at users who added friends and then initiated a group chat.
* For a recipe sharing site, look at users who viewed a recipe and then submitted a recipe.
* For a fantasy sports app, look at users who joined a league and then voted on a trade.

Furthermore, you can create Scenarios with "bad" events as target events. This would allow you to understand the behaviors which lead to churn or cancellations.

* Look at ...

The proverbial sky is the proverbial limit. Literally.


How it Works
===============

Let's start by breaking down a simple Scenario example.

:todo: high-level about how the scenario defines the data used for analysis

For more, dive into :doc:`/science/index`.
.. image:: negative-scenario.png

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