User Studies
This page is focused on analyzing user behavior and engagement on OpenStreetMap.
The goal of this analysis is to better understand how to better serve the OSM community.
Segmentation
Overall OSM Visitors - End State Segmentation
The following segmentations of the registered user base is offered as one framework for analyzing user engagement. It is adopted from Haklay & Budthathoki's 2010 Horizon Challenge presentation.
- Visitors to osm.org - unknown
- Attempted registration, but quit or never confirmed - unknown
- Registered Users - the entire base (100%, ~1MM users as of Jan 2013)
- Never mapped - registered, but no edits (~60%)
- Mapped (edited or created an object) at least once (~40%)
Mapper Activity Segmentation
Of those who have mapped - this needs to be updated - this timeframe needs to be updated. It's not clear that this is a relevant measure, as the "active" % will tend to go down over time - a better metric might be the percentage of those registered in the past 2 weeks who've made at least 1 edit:
- Active (measured as having mapped in the last 2 months - not sure this is the proper timeline)
- Inactive - those who have not made an edit in the last 2 months
According to Neis & Zipf 2012, roughly 80% of all OSM mappers through 2011 who end up making edits make their first edit on the first day of their registration.
Mapping Intensity Segmentation
Of those who have mapped - need to assess what are the relevant breakpoints here:
- 1-9 edits ("Nonrecurring Mappers"): 50%
- 10-999 edits ("Junior Mappers"): 37%
- 1000+ edits ("Senior Mappers"): 13%
Questions
- Why do people register and then not edit?
- Why do people make a limited # of edits and then quit?
- Satisfactory reasons? e.g. did they quit because they wanted to? They finished their task?
- Unsatisfactory reasons? e.g. did they quit against their desires? Too hard to figure out what to do? Documentation?
- What types of people make edits & what types end up quitting? (e.g. technical vs. non-technical)
- What is the average activity period for each different type of mapper?
- What do the splits of Active/Inactive participation look like across the various mapper types - nonrecurring/junior/senior?
Appropriate Metrics
It is unclear what are appropriate metrics for engagement. These need to be identified. The 2 week interval for stat updates is completely arbitrary.
Draft Suggested Metrics
- New mapper acquisition numbers. Number of new mappers over the last 2 weeks.
- Conversion rate - % of new mappers who make an edit in the first 2 weeks after registration.
- Numbers of/growth of active mappers by each intensity type.
- Conversion of mappers across intensity types.
Terminology
- Volunteered Geographic Information (VGI) - a term used by academics when studying OSM user behavior
Analysis Tools & Data Sources
- OSM Contributor Analysis Tool (OSM-CAT)
- Distribution of Active Users in OpenStreetMap – Oct-Nov 2012 - Pascal Neis
- OSM Stats - altogetherlost.com
- MVP OSM: A Tool to Identify Areas of High Quality Contributor Activity in OpenStreetMap - 2012
References
- Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap - Pascal Neis & Alexander Zipf, International Journal of Geo-Information (*** Excellent ***)
- OpenStreetMap - Overview and Motivational Factors - Horizon Infrastructure Challenge 2010 presentation by Dr Muki Haklay, Nama Budhathoki
- Tropes 2.0: Mobilization in OpenStreetMap - Josef Eckert
- How Many Volunteers Does It Take To Map An Area Well? The validity of Linus' law to Volunteered Geographic Information - Dr Haklay
- Dr. Peter Mooney's homepage - pay special attention to the Conference Papers with Peer Review (2012)
- Renate Steinmann's homepage - various OSM-related studies, mostly in German.
- Statement of why one user left OSM
- OSM Wiki Research Page