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Adding TryMyUI explainer (#129)

* Adding try my UI

Signed-off-by: Mary Anthony <mary@blockstack.com>

* Fixing a typo

Signed-off-by: Mary Anthony <mary@blockstack.com>
feat/clarity-updates
Moxiegirl 6 years ago
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      _develop/images/alf-score.png
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      _develop/mining_intro.md

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_develop/mining_intro.md

@ -3,6 +3,14 @@ layout: learn
permalink: /:collection/:path.html permalink: /:collection/:path.html
--- ---
# Understand App Mining # Understand App Mining
{:.no_toc}
This section explains App Mining, a program for developers. For Blockstack, App Mining is a crucial factor in the growth of both blockchain applications and users.
* TOC
{:toc}
## What is App Mining?
{% include intro-appmining.md %} {% include intro-appmining.md %}
@ -55,15 +63,33 @@ you got 90 upvotes and 10 downvotes, you’d get a “likability score” of 90.
Secondly, Blockstack calculates a “traction score”, which ranks how many total Secondly, Blockstack calculates a “traction score”, which ranks how many total
votes (including downvotes) an app received, relative to other apps. votes (including downvotes) an app received, relative to other apps.
### TryMyUI
TryMyUI’s panelists score using a special survey they developed expressly for the App Mining program: the ALF Questionnaire (Adoption Likelihood Factors).
Answers to this questionnaire will be used to calculate an overall score reflecting the following 4 factors:
* Usability
* Usefulness
* Credibility
* Desirability
Each factor corresponds to 4 questionnaire items, for a total of 16 items that comprise the ALFQ. Users mark their answers on a 5-point Likert scale, with 5 meaning **Strongly agree** and 1 meaning **Strongly disagree**. The final result is a score for each of the 4 factors, and a composite ALF score.
<img src="images/alf-score.png" alt="">
## Reaching the final scores ## Reaching the final scores
Once the reviewer-partners generate reviews, each app has 4 raw scores between 0 Once the reviewer-partners generate reviews, each app has 5 raw scores between 0
and 100 for the following: and 100 for the following:
* Product Hunt community score * Product Hunt community score
* Product Hunt team score * Product Hunt team score
* Democracy Earth likability score * Democracy Earth likability score
* Democracy Earth traction score * Democracy Earth traction score
* TryMyUI ALF score
First Blockstack's determine a ‘z-score’ for each ranking category community, First Blockstack's determine a ‘z-score’ for each ranking category community,
team, likability, and traction. This is a statistical technique to account for team, likability, and traction. This is a statistical technique to account for

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