1. WatchLater An easier way to manage your videos
Madison Hicks
Brett Lindenberg
David Zoellner

2. The Existing System – GoWatchIt

3. Our Interface - WatchLater

4. Hypothesis: Users would be more satisfied with our app, WatchLater.
User Study Conditions
Total number of Participants: 16
Equally Split between GoWatchIt and WatchLater
Participants Per group: 8
Given a week to use their given interface
Participants were made aware that there were two different apps being tested to dissuade any bias towards the experimenters
Surveyed after the testing period using an identical questionnaire
NULL Hypothesis: Users will equally or more satisfied with the WatchItLater than with the WatchLater interface.
Hypothesis: Users would be more satisfied with our app, WatchLater.

5. Results & Analysis I am satisfied using this system.
(1-Strongly Disagree; 10- Strongly Agree)
How likely are you to recommend this app to a friend?
(1-Not Likely; 10- Very Likely)
GoWatchIt
WatchLater 3 6 7 8 5 10 9
GoWatchIt
WatchLater 1 6 8 7 10 4 5 9
t-value:
t-value:
+0.11
p-value:
0.5
p-value:
Mean:
Mean:
Std.Dev:
Std.Dev:

6. Conclusions
This p-value indicates that there is between a 45 and 50 percent chance that, were we to run this test again, the scores would invert. In addition, because the p-value is greater than five percent, we cannot reject the NULL hypothesis.
The t-value tells us how likely it is that the two sets of scores came from different groups. The t-value is 0 for the first set of statistics because the means were equal and positive in the second set because mean for GoWatchIt was greater than that of WatchLater. The t-value being rather small implies that it is not likely that the two sets of score came from different groups.
Because the p-value is greater than five percent, we cannot reject the NULL Hypothesis.