With this KPMG bundle, you prepare for the assessment you receive via LTP or Harver (NOA). The package aligns with the most common components of these assessments and helps you practice both cognitive ability tests and additional measures, such as personality or behavior. This gives you practical preparation for the components mentioned in the invitation email.
KPMG uses various assessment providers, including LTP and Harver (NOA). Depending on the invitation, the assessment may consist of online tests, questionnaires, and sometimes additional assignments. In this bundle, you mainly practice the components that often recur in these assessments, so you become familiar with the way questions are asked and the skills that are tested.
Which components you can practice
- Figure sequences and matrices
- Number sequences and exclusion
- Syllogisms and analogies
- Arithmetic skills and numerical insight
The practice modules are built around the content of the assessment components. You practice, among other things, abstract reasoning, verbal reasoning, and numerical reasoning. With figure sequences, matrices, and exclusion, you learn to recognize patterns and reason logically. With syllogisms and analogies, you work on relationships between concepts and conclusions. The numerical modules focus on arithmetic, graphs, tables, and quickly processing information.
This preparation is suitable for different job levels within KPMG, from analyst and associate to senior associate, manager, director, and partner. Because the content of an assessment can vary by invitation, it is important to keep a close eye on your email. It usually states which test components you can expect and which modules are most relevant in your case.
With this bundle, you work step by step toward familiarity with the structure of the assessment and toward a careful approach under time pressure. This allows you to practice in a targeted way with the components that are often used by LTP and Harver (NOA), without having to make your preparation unnecessarily broad.
