The five-lens framework, the source-tier rubric, the verification process, and the rules that separate facts from assumptions in every issue.
Gaming-market coverage is crowded with news aggregators, fan blogs, and consumer review outlets. GIES occupies a different lane: structured intelligence for senior decision-makers. The methodology below is what makes that lane defensible. Every issue applies the same five-lens lookup, the same source-tier rubric, and the same fact-vs-assumption labeling discipline.
Readers can audit any issue against this page. Where a claim falls short of the published standard, that is a defect, not a stylistic choice.
The video games market is large enough that no single framing captures it. GIES uses five durable lenses. Every issue lands in at least one lens. Most issues touch two or three. The through-line: how design choices shape player behavior shape business outcomes.
The demand side. Who plays, why, and how that translates to revenue.
Geography. Same product behaves differently across regions.
The games and IP themselves. What is shipping and how it performs.
The industry side. Studios, publishers, platforms, hardware cycles.
How games make money. Monetization, M&A, publishing, regulation.
Every claim in a GIES issue is sourced. Sources are ranked into four tiers. Tier rank determines the level of scrutiny applied and the language used to present the claim.
| Tier | Source type | Example | Treatment |
|---|---|---|---|
| T1 | Primary, audited | SEC filings, audited annual reports, court documents, government regulatory filings | Cited directly. Treated as fact. |
| T2 | Primary, unaudited | Company press releases, executive earnings-call statements, official platform dashboards (Steam Charts, Twitch Tracker, App Store rankings) | Cited directly. Treated as fact unless contradicted by T1. |
| T3 | Secondary, attributed | Reuters, Bloomberg, Financial Times, GamesIndustry.biz, Game Developer, Naavik, established analyst firms (Newzoo, Ampere, Niko Partners, IDC, Circana) | Cited with attribution. Treated as well-supported but not definitive. |
| T4 | Secondary, unattributed or speculative | Anonymous-source reporting, leaks, social-media claims, fan-community estimates | Labeled "reported," "claimed," or "estimated." Treated as assumption requiring corroboration before any decision is built on it. |
Every analytical claim is one of three things. GIES labels them explicitly inside each issue.
Mixing these is a defect. Readers can challenge any interpretation; they should not have to challenge the underlying facts as well.
Where GIES publishes a forecast (audience size, revenue, attach rate, market share), the forecast is constructed from explicit drivers, not extrapolated from a trend line.
GIES contributors carry day jobs and consulting engagements in the gaming industry. The following rules apply.
Weekly issues are written on a single-week cycle. They reflect what was known at publication and are not revised after the fact, except for factual corrections, which are timestamped and called out at the top of the issue.
Monthly Takeaways take a quarter-relevant view. They are written to be useful to a reader 30 to 90 days after publication, not just on the day of release.
Special Reports (deep-dives on a single topic) are versioned. A v1 may be updated to v2 if the underlying market shifts materially. Both versions remain accessible.
The five-lens framework was developed by Emmanuel Rosier across roughly a decade of gaming-industry analysis (Electronic Arts global demand planning and strategic growth roles, then market intelligence at Newzoo). The source-tier rubric is adapted from financial-research practice. The fact / assumption / interpretation labeling is borrowed from forecasting discipline as practiced in macroeconomic and equity research.
The full editorial team applies the methodology to weekly research. Detailed contributor profiles on the authors page.
If a published GIES claim falls short of the standard on this page (mis-tiered source, fact-assumption-interpretation conflation, forecast missing scenario range), reach Emmanuel Rosier on LinkedIn. Corrections are published, dated, and credited.