The projects is going half way through.
1) Through the interim review with client today, we could present and demonstrate our progress on schedule.
First of all good things is that we could show them our readiness against their question and comments.
Also we are glad that weaknesses of SWOT seems fully delivered to them.
That means to convince the client and to increase chance of acceptance from them.
2) First survey result came out.
It is always exciting to analyze data. This is nothing but to challenge assumptions and to verify.
Outstanding assumption we consistently pegged on was gender difference.
Because clear divide was observed during interviews with female and male students.
For example, male students are consistently considered more aware of eGovenment services during the interview
With the result, at first glance is that female responders outnumbers male responders.
What does that mean? Does this mean that female students will be more responsive for a promotion?
Awareness on eGovenment services turned out not much biased across gender.
It comes out current awareness level of female and male are pretty same. First assumption with gender bias looks wrong.
More analysis will be done. However verifying assumptions and adjusting them are most fun part of the project.
1) Through the interim review with client today, we could present and demonstrate our progress on schedule.
First of all good things is that we could show them our readiness against their question and comments.
Also we are glad that weaknesses of SWOT seems fully delivered to them.
That means to convince the client and to increase chance of acceptance from them.
2) First survey result came out.
It is always exciting to analyze data. This is nothing but to challenge assumptions and to verify.
Outstanding assumption we consistently pegged on was gender difference.
Because clear divide was observed during interviews with female and male students.
For example, male students are consistently considered more aware of eGovenment services during the interview
With the result, at first glance is that female responders outnumbers male responders.
What does that mean? Does this mean that female students will be more responsive for a promotion?
Awareness on eGovenment services turned out not much biased across gender.
It comes out current awareness level of female and male are pretty same. First assumption with gender bias looks wrong.
More analysis will be done. However verifying assumptions and adjusting them are most fun part of the project.
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