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.
<imgsrc="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