AHP Hierarchical Analysis, Expert Survey & Thesis AHP Analysis Service

AHP Hierarchical Analysis, Expert Survey & Thesis AHP Analysis Service

The Analytic Hierarchy Process (AHP) is a multi-criteria decision-making method that breaks down complex decision problems into a hierarchical structure and quantifies the relative importance of each factor. Using a three-level hierarchy of overall goal, evaluation criteria, and sub-criteria, AHP supports systematic prioritization of strategies, policies, projects, and product alternatives.

Why Use AHP Surveys Instead of Ordinary Rating Scales?

Conventional Likert-type surveys evaluate each item independently and often fail to capture subtle differences in relative importance between factors. AHP uses Saaty’s 1–9 fundamental scale and pairwise comparison, asking respondents to compare two factors at a time and judge which is more important and by how much, enabling a more precise numerical representation of the decision structure. In addition, AHP calculates the Consistency Index (CI) and Consistency Ratio (CR) to assess how logically consistent respondents’ judgments are, which greatly enhances the reliability and interpretability of both research and real-world decisions.

AHP Analysis Steps and Survey Design

The AHP analysis follows these main steps:

• Define the decision problem and research objectives
• Design the hierarchical structure (Goal–Criteria–Sub-criteria)
• Develop and administer pairwise comparison surveys using the 1–9 scale
• Compute CI and CR values and adjust inconsistent responses if needed
• Derive local and global weights and calculate the final priority ranking of alternatives

For better response consistency, each comparison group is ideally limited to about 4–5 items; if more than 7 items are included in one group, cognitive load increases and consistency tends to drop sharply. In many applications, a panel of about 15–30 experts is sufficient to produce stable weights and priorities, so the qualitative expertise and composition of the panel are more important than the sheer sample size.

Managing and Correcting the Consistency Ratio (CR)

In theory, a CR of 0.1 or lower is typically regarded as indicating an acceptable level of logical consistency in the pairwise comparison matrix, but in practice many expert surveys produce CR values above this threshold. By applying mathematical adjustment algorithms and examining response patterns, it is possible to modify the pairwise comparison matrix so that it becomes logically consistent while still preserving the respondent’s original intent as much as possible, resulting in outputs that are robust enough for thesis review or policy applications.

AHP Analysis Service: Scope and Pricing

This AHP analysis service is designed to minimize the researcher’s workload and maximize the usability of the results. The fee is a flat rate of 500 USD per project, with no additional charge for sample size up to a maximum of 500 respondents. For typical cases, results are delivered within two business days on weekdays and within one day for weekend requests, allowing you to keep tight thesis or reporting deadlines.

The service includes the following:

• Correction of responses that exceed the CR threshold
• Drafting of paper-style result interpretations (methods and results sections)
• Preparation of statistical tables and AHP result tables/figures ready to insert into your thesis
• Follow-up revisions and re-analysis to address supervisor feedback

The final deliverables include weights by level in the hierarchy, overall (global) weights, respondent-level weights, CI and CR values, and priority ranking tables, all formatted so they can be used directly in your thesis text, tables, and appendices.

Use Cases and Benefits of AHP

AHP is widely used for strategic and investment priority setting in companies, evaluating and ranking public policy alternatives, selecting projects and suppliers, and analyzing consumer preferences in new product development. It is also an important decision-support tool in social and policy research fields such as public service quality, ethics and integrity, and media literacy.

In situations where many criteria and stakeholders are involved, AHP provides clear criteria and quantified evidence, enabling structured, data-driven decisions that can be convincingly explained to others. With this service, you can handle design, analysis, interpretation, and feedback-driven revisions in one place, freeing you to focus on the substance and narrative of your research.

Contact

For inquiries, please email: jeon080423@gmail.com