Scaling Game Review Output

01 — Details

Leadership needed to scale game review output fast to hit growth targets. Instead of turning reviews into a full-time, repetitive role (burnout waiting to happen), I built an AI-assisted workflow for the low-leverage setup work and paired it with a rotation model across the team. Outcome: reviews scaled from ~20/week to 60+/week in 8 weeks, while keeping editorial checks human.

02 — Process

Audited the review pipeline to spot the repetitive steps slowing writers down

Set up an AI-assisted pre-writing workflow (data compilation, structure setup, formatting)

Defined hard quality guardrails: gameplay notes, judgment, voice, and final edit stayed human

Documented everything as SOPs: templates, checklists, and prompt guidance so the team could use it consistently

Pitched and implemented a rotation model so reviews stayed a shared stream, not a single-role treadmill

Tracked weekly output and friction points, then iterated fast based on what actually broke in production

Proof: Before/after AI-assisted workflow

Before new workflow (11 July): 21 games

After new workflow (5 September): 56 games

20>60

Reviews/week

+250%

Weekly throughput

Rotation

shared vs single owner (min burnout)

03 — Results

We managed to increase game review output by 250% within 8 weeks. The workflow removed the repetitive setup while the rotation model ensured ownership was shared. The result was faster publishing, clearer accountability and a sustainable pipeline for the team.