To Plan or Not to Plan? A Mixed-Methods Diary Study Examining When, How and Why Knowledge Work Planning is Inaccurate
Yoana Ahmetoglu, Duncan P. Brumby, Anna L. Cox
Abstract
Reliable and accurate planning is essential for modern knowledge workers.
However, there is limited insight about when, how and why planning is inaccurate, and the circumstances in which those inaccuracies are troublesome. To investigate this, we asked 20 academics to keep a diary for a single work day.
They estimated the duration of the tasks they wanted to achieve at the start of the day and noted down in detail the tasks they actually achieved during the day. Semi-structured interviews were conducted to complement this diary data. The diaries showed that some tasks, such as email and coding, were more susceptible to time underestimation bias while other tasks, such as writing and planning, were more susceptible to time overestimation bias in planning. Based on interviews, a typology of common reasons for delays in planned daily work is presented. It suggests that vague and optimistic planning leads to the observed discrepancy between planned and actual work. Finally, interviews suggested that participants adopted four planning strategies that vary in the frequency of planning, from minimal planning to daily, weekly and multi-level planning. We close by discussing ways support systems for accurate planning can be better designed for different use cases.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a53efac8-187e-45ba-80d3-c0b4a992d6e8Cited by top-tier papers2
- The Metacognitive Demands and Opportunities of Generative AILev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott et al.CHI 2024 · 279 citations
- Bodywork at Work: Attending to Bodily Needs in Gig, Shift, and Knowledge WorkDeepika Yadav, Kasper Karlgren, Riyaj Isamiya Shaikh, Karey Helms et al.CHI 2024 · 7 citations
Related papers
- Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration EstimatesMorgane Koval, Yvonne JansenCHI 2022 · 10 citations
- Present-Biased OptimizationFedor V. Fomin, Pierre Fraigniaud, Petr A. GolovachAAAI 2021 · 6 citations
- Code Today, Deadline Tomorrow: Procrastination Among Software DevelopersZeinabsadat Saghi, Thomas Zimmermann, Souti ChattopadhyayICSE 2025 · 1 citation
- Understanding People's Experience for Physical Activity Planning and Exploring the Impact of Historical Records on Plan Creation and ExecutionKefan Xu, Xinghui (Erica) Yan, Mark W. NewmanCHI 2022 · 18 citations
- People Do Not Just Plan, They Plan to PlanMark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman et al.AAAI 2020 · 1 citation
