Pretesting survey items for interpretability and relevance is a commonly recommended practice in the social sciences. The goal is to construct items that are understood as intended by the population of interest and test if participants use the expected cognitive processes when responding to a survey item. Such evidence forms the basis for a critical source of validity evidence known as the response process, which is often neglected in favor of quantitative methods. This may be because existing methods of investigating item comprehension, such as cognitive interviewing and web probing, lack clear guidelines for retesting revised items and documenting improvements, and can be difficult to implement in large samples. To remedy this, we introduce the Response Process Evaluation (RPE) method. The RPE method is a standardized framework for pretesting multiple versions of survey items and generating individual item validation reports. This iterative, evidence-based approach to item development relies on feedback from the population of interest to quantify and qualify improvements in item interpretability across a large sample. The result is a set of item validation reports that detail the intended interpretation and use of each item, the population it was validated on, the percent of participants that interpreted the item as intended, examples of participant interpretations, and any common misinterpretations to be cautious of. Researchers may find that they have more confidence in the inferences drawn from survey data after engaging in rigorous item pretesting.