Feedback on Machine Utilization

Last registered on June 23, 2026

Pre-Trial

Trial Information

General Information

Title
Feedback on Machine Utilization
RCT ID
AEARCTR-0018407
Initial registration date
June 19, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
June 23, 2026, 8:33 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Affiliation
Max Planck Institute for Behavioral Economics

Other Primary Investigator(s)

PI Affiliation
Karlsruhe University of Applied Sciences
PI Affiliation
Max Planck Institute for Behavioral Economics
PI Affiliation
Max Planck Institute for Behavioral Economics
PI Affiliation
Max Planck Institute for Behavioral Economics

Additional Trial Information

Status
In development
Start date
2026-06-22
End date
2029-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study investigates how feedback on machine utilization affects the productivity of workers operating automated machinery in manufacturing. We conduct a randomized controlled trial across seven plants in six manufacturing firms, in which groups of workers within plants are randomly assigned to one of three experimental conditions. Workers in the control group continue their work as usual without any intervention. Workers in treatment arm 1 receive a weekly printout for each machine they operate, visualizing machine utilization throughout the workday based on data from the previous week, the entire experimental period to date, and a three-month baseline period prior to the intervention. Prior to the start of the intervention, workers in treatment arm 1 participate in a workshop in which they receive instructions on how to read and interpret the printout. Workers in treatment arm 2 receive the same weekly printout and participate in an extended kick-off workshop prior to the start of the intervention, which includes an in-depth analysis of potential problems and a structured discussion of possible solutions to improve machine utilization. Treatment arm 2 also includes weekly meetings between workers and their supervisors to review patterns in machine utilization and discuss possible solutions, documented in a meeting log. The intervention runs for 13 weeks.
External Link(s)

Registration Citation

Citation
Alfitian, Jakob et al. 2026. "Feedback on Machine Utilization." AEA RCT Registry. June 23. https://doi.org/10.1257/rct.18407-1.0
Experimental Details

Interventions

Intervention(s)
Control group:
Workers in the control group continue their work as usual. No intervention takes place.

Treatment arm 1:
Workers in the first treatment arm receive a weekly printout for each machine they operate. The printout is generated automatically from machine data using a standardized software routine designed by the research team, implemented by an external consultant, and run by the firms. At the beginning of each week, a designated staff member within each plant distributes the printouts to the relevant machines. The printouts are placed directly at the relevant machines, making them visible to the workers who operate them. Each printout contains three graphs, all displaying machine utilization over the course of a 24-hour workday. For every minute of the day, each graph shows the proportion of days on which the machine was running. The three graphs display this information for: (1) the previous week, (2) the entire experimental period to date, and (3) a three-month baseline period prior to the experiment. Prior to the start of the intervention, all workers in treatment arm 1 participate in a workshop in which they receive instructions on how to read and interpret the printout.

Treatment arm 2:
Workers in the second treatment arm receive the same weekly printout as treatment arm 1, distributed in the same way. In addition, prior to the start of the intervention, workers participate in an extended kick-off workshop led by a consultant with expertise in lean management. Compared to the workshop in treatment arm 1, this workshop goes beyond printout interpretation and includes an in-depth analysis of potential problems and a structured discussion of possible solutions to improve machine utilization. Moreover, throughout the 13-week intervention period, workers meet weekly with their direct supervisor to review the new printout, discuss patterns in machine utilization, and identify possible solutions. Following each weekly meeting, workers and supervisors are asked to record areas for improvement in a meeting log. The meeting log also contains a designated field in which supervisors record the duration of the meeting.
Intervention Start Date
2026-06-22
Intervention End Date
2026-09-18

Primary Outcomes

Primary Outcomes (end points)
Machine utilization
Primary Outcomes (explanation)
Machine utilization is constructed from raw machine data, which records for every machine and every minute whether the machine was running or experiencing downtime. Machine utilization is defined as the proportion of days within a given reference period on which a machine was running in a given minute, out of the days on which the machine was planned to run in that minute. While the precise operationalization varies across firms due to differences in data availability, in all cases the measure captures the proportion of scheduled production time during which the machine was productively utilized within the most granular time unit available.

Secondary Outcomes

Secondary Outcomes (end points)
Worker engagement
Worker perceptions
Secondary Outcomes (explanation)
Worker engagement:
In treatment arm 2, worker engagement with the feedback is measured using a meeting log, a printed template in which workers and supervisors record areas for improvement following each weekly meeting. The meeting log also contains a designated field in which supervisors record the duration of the meeting. The meeting log is scanned weekly by the designated staff member within each plant and sent to the research team. Worker engagement is analyzed using text analysis, covering both the extent and content of the notes made.

Worker perceptions:
Worker perceptions are measured through an endline survey conducted among workers at the end of the intervention, covering topics such as job satisfaction and attitudes toward the feedback.

Experimental Design

Experimental Design
Experimental conditions are assigned at the block level using stratified randomization, where a block is the smallest organizational entity within a plant comprising a group of employees that has their own supervisor, corresponding to either a production department or a shift group. This level of assignment is deliberately chosen to minimize the risk of spillovers between experimental conditions within the same plant. Randomization is stratified at the plant level, ensuring that within each plant, blocks are randomly assigned to experimental conditions such that every plant contains at least one block in each of the three experimental conditions. The intervention runs for 13 weeks, from June 22 to September 18. Prior to the intervention, a baseline period of approximately three months is considered. At the end of the intervention, an endline survey is conducted among workers to capture their perceptions. The primary data source is machine data, which records for every machine and every minute whether the machine was running or experiencing downtime. In addition, a designated staff member within each plant provides weekly data on staffing and planned production times, which are used to construct the machine utilization measure.
Experimental Design Details
Not available
Randomization Method
Randomization was conducted by the research team using Stata prior to the start of the intervention. A random seed was set to ensure replicability. Firm representatives were not involved in the assignment of experimental conditions.
Randomization Unit
The randomization unit is the block, corresponding to either a production department or a shift group within a plant.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
26 blocks
Sample size: planned number of observations
144 machines; 206 workers
Sample size (or number of clusters) by treatment arms
Control group: 8 blocks
Treatment arm 1: 10 blocks
Treatment arm 2: 8 blocks
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethical Review Committee for Research in Social and Behavioral Sciences of the Faculty of Management, Economics and Social Sciences (ERC-FMES), University of Cologne
IRB Approval Date
2026-04-21
IRB Approval Number
260014MS