Innovation management auditing (IMA) is valuable to assessinnovation capability. A review of literature shows that research-based IMAmodelsare few and there are considerable variations in IMA-related researchand models. The quality of different models is often unclear or limited. Thepurpose of this paper is to clarify the basis for valid and reliable auditingthrough discussing and developing a quality framework. Findings point to thatthere are different aims and purposes of IMA; measuring, learning about orchanging innovation capability as well as improved business performancethrough capability enhancement. Different aims imply different focus andformulation of quality to be achieved through IMA efforts. A qualityframework for IMA is developed based on aims and the trustworthiness (validity, reliability and objectivity) in achieving respective aims. Theframework is proposed as a way to assess quality of different models, as aguide to enhance quality through research, and for practitioners to use modelsand tools in a quality-conscious way.