Difference between revisions of "Evaluating UX over time"
A.Balleyer (talk | contribs) (Created page with "==Longitudinal Testing via panel== ===Exemplary Research Question=== * * ===Exemplary Research Design=== ==Long-term Testing via Web Analytics== ===Exemplary Research Quest...") |
(→Long-term Testing via Web Analytics) |
||
| Line 9: | Line 9: | ||
==Long-term Testing via Web Analytics== | ==Long-term Testing via Web Analytics== | ||
===Exemplary Research Question=== | ===Exemplary Research Question=== | ||
| − | * | + | * How do less search attempts within one session leads to more conversion? |
| − | * | + | * How many accounts could be converted from the old Ebay Kleinanzeigen to Kleinanzeigen? |
===Exemplary Research Design=== | ===Exemplary Research Design=== | ||
| + | - Timespan should be as long as possible, but be at least one or two years to see seasonal differences | ||
| + | - The data should be queried weekly | ||
| + | - The timing for collecting the data doesn't has to be special but should be in a small time area | ||
| + | Needed Data | ||
| + | - data about how much time passes between search requests of one person inside one session | ||
| + | - how many times does one person search a certain topic inside one session | ||
| + | - how many sessions does one person start to search a similar topic | ||
| + | -> the idea is to find out how many attempts does one person need to find what the persons looks for | ||
| + | => the target is than to optimise the internal search engine | ||
| + | - Simple account history data (Date of the set up, number of sells, number of buys etc.) | ||
| + | - This data has to be put in timely comparison -> pre-switch to post-switch | ||
| + | -> the idea is to find "dead accounts" | ||
| + | => the target is to find out if and how the switch effected usage and activeness of the app by users | ||
==Longitudinal Testing with existing user== | ==Longitudinal Testing with existing user== | ||
Latest revision as of 14:51, 3 November 2023
Contents
Longitudinal Testing via panel
Exemplary Research Question
Exemplary Research Design
Long-term Testing via Web Analytics
Exemplary Research Question
- How do less search attempts within one session leads to more conversion?
- How many accounts could be converted from the old Ebay Kleinanzeigen to Kleinanzeigen?
Exemplary Research Design
- Timespan should be as long as possible, but be at least one or two years to see seasonal differences - The data should be queried weekly - The timing for collecting the data doesn't has to be special but should be in a small time area
Needed Data - data about how much time passes between search requests of one person inside one session - how many times does one person search a certain topic inside one session - how many sessions does one person start to search a similar topic -> the idea is to find out how many attempts does one person need to find what the persons looks for => the target is than to optimise the internal search engine
- Simple account history data (Date of the set up, number of sells, number of buys etc.) - This data has to be put in timely comparison -> pre-switch to post-switch -> the idea is to find "dead accounts" => the target is to find out if and how the switch effected usage and activeness of the app by users
