1. Time estimator2. Supplemental material

Estimating the duration of a task might be difficult without the appropriate tools. Below you will find a time estimator, designed to help you better visualize the possible durations of a task based on your own beliefs. In order for the predictive visualization to be as precise as possible, you need to (1) decompose your task into smaller components and estimate for each sub-task (e.g., if your whole task is preparing breakfast, then sub-tasks can be brewing coffee, toasting bread and making scrambled eggs), and (2) add surprising events that could occur and either quicken or slow down the proceedings of your task (e.g., you burn the eggs or someone already made some coffee). Since those events are uncertain, you also need to estimate their frequency (i.e., how likely they are to happen). You can play around with the intervals' values and options by clicking or dragging them.
Limitation: Note that the current version of this tool can only handle independent events. That is, for the visualization to accurately represent your beliefs, the area of surprise events slowing you down or speeding you up, should only contain events where one of them does not depend on another one listed on another row.

1. Break the task down into steps

    2. Consider surprise events which could slow you down or speed you up


      Live updates are on. You are visualizing a 20-dot quantile plot.

      This is a project by Morgane Koval and Yvonne Jansen. This tool was developed as a result of a study on predictive visualizations (see paper and OSF for full method) combined with the Tangle javascript library by Bret Victor. You can also access supplemental material through this page. If you want to go directly to our pre-registration, you can click here and if you're only interested in the detailed results of our analysis, then you can go here directly. If you want to reuse any of the material on this page, please cite our article.

      Morgane Koval, Yvonne Jansen. Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates. CHI 2022 - Conference on Human Factors in Computing Systems, Apr 2022, New Orleans, United States. DOI 10.1145/3491102.3502010.

      TITLE = {{Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates}},
      AUTHOR = {Koval, Morgane and Jansen, Yvonne},
      URL = {https://hal.inria.fr/hal-03599998},
      BOOKTITLE = {{CHI 2022 - Conference on Human Factors in Computing Systems}},
      ADDRESS = {New Orleans, United States},
      YEAR = {2022},
      MONTH = Apr,
      DOI = {10.1145/3491102.3502010},
      KEYWORDS = {Planning fallacy ; predictive visualization},
      PDF = {https://hal.inria.fr/hal-03599998/file/
      HAL_ID = {hal-03599998},
      HAL_VERSION = {v1},