Q003 — Self-Audit¶


Research	R0027 — Multilingual prompt engineering challenges
Run	2026-03-26
Query	Q003

ROBIS 4-Domain Audit¶

Domain 1: Eligibility Criteria¶

Rating: Pass

Criterion	Assessment
Evidence types defined before searching	Yes — vendor guides, standards, community resources
Criteria stable throughout research	Yes
Inclusion/exclusion applied consistently	Yes — 20 results dispositioned

Notes: Clear criteria for this factual question.

Domain 2: Search Comprehensiveness¶

Rating: Some concerns

Criterion	Assessment
Multiple search strategies used	Yes — vendor guides and standards searches separately
Searches designed to test each hypothesis	Partially — limited search for non-English resources in non-English languages
All results dispositioned	Yes — 20 results, all dispositioned
Source diversity achieved	Moderate — 4 sources (3 vendors + 1 community)

Notes: The main limitation is that searches were conducted in English, which may miss non-English prompt engineering resources. This is an inherent limitation of the research tooling.

Domain 3: Evaluation Consistency¶

Rating: Pass

Criterion	Assessment
All sources scored using same framework	Yes
Evidence typed consistently	Yes — all Factual
ACH matrix applied	Yes — 4 evidence items against 3 hypotheses
Diagnosticity analysis performed	Yes

Notes: Consistent framework application.

Domain 4: Synthesis Fairness¶

Rating: Pass

Criterion	Assessment
All hypotheses given fair hearing	Yes — H1 was tested despite being unlikely
Contradictory evidence surfaced	Yes — promptingguide.ai's 14 languages noted prominently
Confidence calibrated to evidence	Yes — High confidence for a factual finding
Gaps acknowledged	Yes — English-language search bias noted

Notes: The finding is largely factual rather than interpretive, reducing synthesis bias risk.

Overall Assessment¶

Overall risk of bias: Some concerns

The main concern is the English-language search limitation. Vendor guides may have regional language versions accessible through non-English search or regional portals that this research could not detect. However, the absence of language selectors on the main guide pages makes this unlikely for the core prompt engineering documentation.

Researcher Bias Check¶

English-language search bias: All searches were in English. Non-English prompt engineering resources (academic papers, blog posts, vendor documentation) in Japanese, Chinese, Arabic, etc., would not have been found. This is a significant limitation for a query about multilingual availability.
Western-centric vendor selection: Only US-based vendors (OpenAI, Anthropic, Google) were assessed. Chinese vendors (Baidu, Alibaba) may have Chinese-language prompt engineering guides that were not evaluated.
Framing bias: The query frames this as a gap, which it is from an English-language perspective. The picture may be different from a non-English perspective.