კორპორატიული მყიდველების ოპტიმიზმი მსოფლიო მასშტაბით მცირდება – ITM-ის უახლესი კვლევის შედეგები. 

Detected Manipulations & Suggested Changes

Omission of key information

Leaving out important contextual or methodological details that would help readers fully evaluate the claims.

The article states: "Travel Management-ის ინსტიტუტის (ITM) მიერ ჩატარებულმა ყოველწლიურმა გამოკითხვამ აჩვენა, რომ კორპორატიული სექტორის წარმომადგენლებში მომავალი წლის მიმართ ოპტიმიზმის დონე საგრძნობლად დაეცა." and provides percentages (71% to 50%) but does not mention sample size, geographic coverage, sectors included, or how questions were phrased. Similarly, it lists causes of optimism decline (economic uncertainty, rising costs, stricter budgets, geopolitical tension, ESG obligations) without clarifying whether these are directly reported by respondents, inferred by ITM analysts, or interpreted by the article’s author.

4 suggestions

Specify key methodological details of the ITM survey: sample size, countries/regions covered, respondent profile (e.g., job roles, industries), and the time period when the survey was conducted.

Clarify whether the percentages (71% and 50%) refer to a global average, a specific region, or a particular segment of corporate buyers.

Indicate whether the listed reasons for optimism decline (ეკონომიკური გაურკვევლობა, მზარდი ხარჯები, ბიუჯეტების კონტროლი, გეოპოლიტიკური დაძაბულობა, ESG ვალდებულებები) come from direct survey questions, open‑ended responses, or the interpretation of ITM or the journalist.

If available, add at least one contrasting data point (e.g., sectors or regions where optimism did not fall as much) to give a fuller picture.

Appeal to authority

Relying on the reputation of an institution or expert to support a claim without providing enough underlying evidence or detail.

The article relies almost entirely on the authority of the "Travel Management-ის ინსტიტუტი (ITM)" and its annual survey: "კვლევის მიხედვით, ტრეველ-მენეჯერების წინაშე მდგარი მთავარი გამოწვევა ფასების ზრდაა..." The findings are presented as definitive without showing any data breakdowns, margins of error, or alternative sources that might confirm or nuance these results.

3 suggestions

Include a brief description of ITM’s credibility (e.g., how long it has been conducting this survey, typical participation level) and, if possible, link or reference to a publicly available summary of the full report.

Add at least one additional independent source (e.g., data from an airline association, hotel analytics firm, or another research body) that corroborates or contrasts the trends described.

Where possible, summarize one or two concrete data points beyond percentages of optimism (e.g., average reported cost increases, share of companies tightening travel policies) to ground the authority claim in more detailed evidence.

Oversimplification

Presenting complex phenomena as if they had a small number of straightforward causes or effects, without acknowledging nuance or uncertainty.

The article states: "ოპტიმიზმის კლება ძირითადად განპირობებულია ეკონომიკური გაურკვევლობით, მზარდი ხარჯებითა და კორპორატიული ბიუჯეტების უფრო მკაცრი კონტროლით." and later adds geopolitical tension and ESG obligations as drivers. This frames the decline in optimism as mainly or fully explained by these factors, without indicating that other factors may also play a role or that the relative importance of each factor may vary by region or sector.

3 suggestions

Qualify causal language by indicating that these are the main factors reported or perceived, rather than exhaustive or universally dominant causes. For example: "რესპონდენტების მნიშვნელოვანი ნაწილის შეფასებით, ოპტიმიზმის კლება დაკავშირებულია..." instead of stating it as an absolute fact.

Acknowledge that the importance of each factor may differ by company size, industry, or region, and note that the survey may not capture all possible drivers of sentiment.

If available, include a short breakdown (e.g., which percentage of respondents cited each factor) to show that multiple causes coexist rather than a single simple explanation.