Currently, the number of SMEs reaches 64.2 million, while those with a digital ecosystem account for 23.9% of the total number of  SMEs in Indonesia. In 2022, Indonesia will begin to enter the stage of faster and more transformative SMEs economic recovery. Based on Presidential Decree No. 18 of 2020, the Presidential Regulation aims to improve the economy and welfare by accelerating the national digital transformation. SMEs problems are found in several fields: management, organization, technology, capital, operational and technical, limited market access, business licensing constraints, and non-technical costs. With these conditions, an acceleration of digital transformation is needed to facilitate activities in running a business for SMEs. This study aims to create collaborations for SMEs business innovations due to the lack of capabilities in determining the suitable collaboration model for conducting SMEs business. The collaboration model will provide convenience and acceleration in carrying out business activities. This collaboration model can provide SMEs effectiveness and flexibility, increase SMEs productivity so that profits can be increased and compete, improve product and service quality to meet customer desires, and support government programs in the national digital transformation movement toward a digital economy. The methods used in this research are Service Quality and Quality Function Deployment (QFD) methods. The Service Quality method determines the attributes that will be used to determine the form of collaborative service expected by SMEs. At the same time, the Quality Function Deployment method knows the priority of collaboration services desired by SMEs. In this study, there are 15 attributes of a business collaboration system desired by SMEs, namely product trends, product ideas, selling price information, return processes, product quality strengths and weaknesses, product testing, customer needs, idea development opportunities, raw material prices, delivery processes, availability of materials, complaint process, product specification requirements, production process. The technical characteristics used are 9 attributes. The attributes are information on customer characteristics, delivery schedule information, raw material requirements, product quality information, customer needs information, product development frequency information, product testing schedule information, production flow information, and process time information.