Task divisions in teams and the (in)efficiency of gender stereotypes: The impact of communication

Last registered on July 06, 2026

Pre-Trial

Trial Information

General Information

Title
Task divisions in teams and the (in)efficiency of gender stereotypes: The impact of communication
RCT ID
AEARCTR-0019072
Initial registration date
July 01, 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
July 06, 2026, 8:08 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Bern

Other Primary Investigator(s)

PI Affiliation
Victoria University of Wellington
PI Affiliation
RWTH Aachen
PI Affiliation

Additional Trial Information

Status
In development
Start date
2026-07-02
End date
2027-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We analyze if and how gender stereotypes influence the (in)efficiency of task divisions, and if and how this is moderated by communication. In Part I, all participants are incentivized by piece rates to perform two tasks, one stereotyped to males (identifying rotated pictures) and one to females (recognizing emotions). Individual performance for each of the two tasks is measured by the number of correct answers in a given period of time. Participants are not informed about their performance. In Part II, subjects are paired after they have performed both tasks. Each pair consists of one male and one female. Each pair has to determine the efficient combination of tasks performances. For that purpose, both members vote independently whether the male’s performance in the rotation task should be combined with the female’s performance in the emotion recognition task, or vice versa. If both vote for the efficient task division. i.e., the one that maximizes the sum of correct answers, both of them receive a bonus. If exactly one of them votes for the efficient task division, both of them receive the bonus with 50% probability. If none of them votes for the efficient division of task performances, they do not get the bonus. There are two treatments: In treatment N, participants vote directly after they are paired. Treatment C (communication) is identical to treatment N with the only difference that subjects can, before they submit their votes independently, communicate for two minutes in a chat window.
External Link(s)

Registration Citation

Citation
Feess, Eberhard et al. 2026. "Task divisions in teams and the (in)efficiency of gender stereotypes: The impact of communication." AEA RCT Registry. July 06. https://doi.org/10.1257/rct.19072-1.0
Experimental Details

Interventions

Intervention(s)
Subjects are paired after they have performed the two tasks described in the abstract. They are not informed about their performance. Each pair consists of one male and one female (mixed-gender pairs). Both members of a team vote independently whether the male’s number of correct answers in the rotation task and the number of the female’s correct answers in the emotion recognition determines the sum of their correct answers, or vice versa. If both vote for the efficient task division that maximizes the sum of their correct answers, both of them receive a bonus. If exactly one of them votes for the efficient task division, both of them receive the bonus with 50% probability. If none of them votes for the efficient task division, they do not get the bonus. If both task divisions yield the same sum of correct answers, both divisions are treated as efficient.

There are two treatments:
In treatment N, participants vote directly after they are paired.
Treatment C (Communication): Identical to Treatment N, except that pair members can communicate fvia a chat window before voting.
Thus, the intervention varies whether communication is allowed prior to the individual votes on the task division that determines whether subjects receive the bonus or not.

We have three main hypotheses. In all three hypotheses we control for efficiency gains, which we define as the difference in the number of correct answers with the efficient and the inefficient allocation of task performances.

H1. Stereotype-consistent efficient task divisions are more likely to be chosen than counter-stereotypical efficient task divisions.
H2. Communication increases the probability of choosing efficient task divisions.
H3 (if we find support for H1 and H2). Communication reduces the impact of stereotypes on efficient task divisions.

In addition, we have the following secondary hypotheses:
H4. The probability of choosing efficient task divisions increases with efficiency gains.
H5. Communication increases the accuracy of estimating the partner’s performance.
Intervention Start Date
2026-07-02
Intervention End Date
2026-08-31

Primary Outcomes

Primary Outcomes (end points)
The primary outcome (dependent variable in our regressions) for Hypotheses H1-H4 is the probability with which efficient task divisions are chosen, depending on gender stereotypes and treatments. The primary outcome for H5 is the accuracy of the estimation of the partner’s performance.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
In addition to H1-H5 we explore whether there are gender differences
• in choosing efficient task divisions,
• in the impact of stereotypes on choosing efficient task divisions,
• in the impact of efficiency gains on choosing efficient task divisions,
• in the impact of communication on choosing efficient task divisions,
• in the impact of communication on performance estimates

We have no hypotheses for these gender differences.
We also document actual gender differences in performance and use non-parametric tests for significance.

For the communication treatment, we descriptively summarize whether participants used the chat for task-relevant communication. This analysis is descriptive and is not part of our preregistered hypothesis tests.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The online experiment follows a between-subject design structured in two parts. In Part I all participants perform the same two tasks, one task stereotyped to males (identifying rotated pictures) and one to females (recognizing emotions). Participants are not informed about their performance. After each task, participants answer four self-evaluation questions about their own performance and one question on performance differences of men and women at the task.

In Part II, participants are paired and these pairs are randomly assigned to one of the two treatments explained above. At the end of the instructions for Part II, we ask two comprehension questions. Participants who answer more than one question incorrectly, cannot proceed to Part II.

After the actual experiment, we elicit the participants’ beliefs about their own and their partner’s performance in both tasks.
Experimental Design Details
Not available
Randomization Method
Participants are assigned to treatments and pairs based on their entry to the experiment. Participants who self-report that they do not identify as male or female, or who prefer not to disclose their gender, can participate in Part I, receive the same compensation for Part 1 as other participants, but cannot proceed to Part II.
Randomization Unit
Individuals are randomly assigned to pairs.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
no clustering, see number of observations
Sample size: planned number of observations
The experiment is run on Prolific. Our target sample consists of 1,200 participants who complete both parts of the experiment. Because some participants may complete only Part I (because they failed more than one comprehension question; are not successfully matched with a partner; do not identify as male or female, or prefer not to disclose their gender), the final sample of participants completing both parts may be smaller. Data collection ends as soon as 1,200 participants completed both parts or 1,400 participants completed Part I.
Sample size (or number of clusters) by treatment arms
600 participants in treatment N and 600 participants in treatment C (but may be lower; see the previous point).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Committee of the Faculty of Business, Economics and Social Sciences of the University of Bern
IRB Approval Date
2026-06-11
IRB Approval Number
2026-29