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Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"

Meyer, André N; Murphy, Gail C; Zimmermann, Thomas; Fritz, Thomas

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  <identifier identifierType="DOI">10.5281/zenodo.884052</identifier>
      <creatorName>Meyer, André N</creatorName>
      <givenName>André N</givenName>
      <affiliation>University of Zurich</affiliation>
      <creatorName>Murphy, Gail C</creatorName>
      <givenName>Gail C</givenName>
      <affiliation>University of British Columbia</affiliation>
      <creatorName>Zimmermann, Thomas</creatorName>
      <affiliation>Microsoft Research</affiliation>
      <creatorName>Fritz, Thomas</creatorName>
      <affiliation>University of British Columbia</affiliation>
    <title>Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"</title>
    <date dateType="Issued">2017-11-01</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.884051</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Contains the supplementary material for the paper &amp;quot;Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development&amp;quot; submitted to CSCW&amp;#39;18. All contents are explained in the file README.txt.&lt;/p&gt;

One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Source Code:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The source code of WorkAnalytics can be found on &lt;strong&gt;&lt;a href=""&gt;GitHub&lt;/a&gt;&lt;/strong&gt; (under the original name PersonalAnalytics). WorkAnalytics was built with Microsoft&amp;#39;s Dot.Net framework in C# and can be used on the Windows 7, 8 and 10 operating system.&lt;/p&gt;</description>
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