Original title: Understanding Game Coaching on Gig Platforms
Hwijoon Lee, Saiph Savage · September 2026
Many players hire online freelance coaches to help them get better at video games, but researchers know little about how these coaches work. To find out, the authors interviewed 20 experienced coaches on Fiverr across 17 competitive games. Even without formal training, the coaches use similar methods. They work by building good relationships, diagnosing a player's personal mistakes, and giving tailored feedback. The study found coaches face two major pressures: job instability from both gig platformsWebsites that connect freelancers with short-term paid jobs, like Fiverr. and changing games, and the constant need to prove their skill in the games they teach. Finally, coaches were open to using AI for administrative tasks and data analysis, but they rejected using AI during live lessons because personal trust and human judgment matter most.
Imagine you are a street musician earning money from tips. You set up in a good spot, but the city can change the rules any week, and the crowd may lose interest in your style next month. You never know whether your income will survive, so you work hard to win each listener one song at a time. In this paper, freelance game coaches live the same double uncertainty: the website they work on can change the rules, and the game they teach can lose its players, so they must keep proving their skill in front of their students to stay trusted.
For the people who earn money coaching games, this work shows their income depends on two unstable things at once: the gig platform and the game's own lifespan. For players, it explains why good coaching feels personal — trust is the product. For anyone building AI coaching tools, it warns that automation may be welcome for analysis but rejected in live sessions.
The abstract doesn't state limitations explicitly. It reports data from 20 coaches on Fiverr, so it does not establish whether the patterns generalize to other platforms or to coaches in other settings. It also reflects coaches' attitudes toward AI, not measured outcomes of AI coaching systems.
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Understanding Game Coaching on Gig Platforms — Hwijoon Lee, Saiph Savage
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.