In Simple Words
Imagine a student receiving a direct invitation from a university admissions office to complete an application. If the student assumes the invitation means they have a higher chance of acceptance, they update their expectations. But if the invitation merely hands them a pre-filled form without changing their belief about their admission chances, the increased application rate stems entirely from lowering physical effort rather than boosting optimism.
Jobseekers on a Lahore job platform
- Text-only outreach
- Comparison group
- Assigned text plus calls
- No clear change in expected offers
Unadjusted follow-up survey: offer expectations fell by 1.1 percentage points, but the estimate was uncertain. Nonresponse limits interpretation.
See source →Research question
Proactive outreach from recruiters or platforms might increase application rates by signaling higher job quality or candidate suitability, rather than by reducing execution friction. If belief updating drives application behavior, interventions operate through subjective expectation shifts rather than friction reduction.
Participants
N = 2,081 jobseekers surveyed in follow-up modules in Lahore, Pakistan.
Study Design
Randomized Controlled Trial measuring subjective expectations of interview probabilities and job desirability across phone-call treatment and control groups, with selection correction for survey non-response.
Results
Phone call treatment produced an effect of -1.1 percentage points on expected offer probability (p = 0.542) and +0.2 percentage points on percentage of jobs deemed desirable (p = 0.929), confirming that subjective beliefs about match quality and interview returns were unchanged by treatment.
Takeaway
Disambiguate behavioral interventions by evaluating whether outreach alters user beliefs about outcome probabilities or merely removes execution steps.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Follow-up
Collecting more information about participants later in a study to see what has happened to them. The term can also mean the length of time researchers keep track of them.
ExampleResearchers interview the same workers three months after a programme ends. That later interview is a follow-up.
GET-IT glossary · Follow-up ↗Read more about follow-up →- Percentage points
The difference between two percentages.
ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.
Office for National Statistics · Percentages ↗Read more about percentage points →- Randomized controlled trial
A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.
ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.
GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →