Ihr Startup-Team ist in Bezug auf die Priorisierung von Funktionen gespalten. Wie wählen Sie den besten Ansatz für den Erfolg?

Use objective metrics, like RICE (reach x impact x confidence / effort). Only objectivity and being data driven will put all opinions to the trash in favor of reality. Opinions are not facts.

The team should not decide on the functionalities: its the customer, who buys it in larger numbers (so not mum or the best friend). Get feedback with a mystery shopping offer (anonymized product or click tests). If you have already a first build (ME or EE) and access to trend receivers: do a clinic and get some feedback from a small but impactful group. Watch, observe, listen. This gives the team feedback in 3 days, incl. organizing maybe 2 weeks. That's it. You can decide on the base of data, not on opinion in the leadership team.

Aligning on priorities is crucial for startup momentum. To overcome division, I recommend: - Encouraging open dialogue to surface all perspectives. - Focusing on customer feedback and data to guide decisions. - Aligning features with long-term goals and impact on the value proposition. - Using a weighted scoring system to objectively evaluate options.

When our team was divided on feature prioritization, we turned to cross-functional workshops to find common ground. By bringing together team members from different departments—engineering, marketing, and customer support—we were able to get diverse perspectives on each feature’s importance. We used a simple voting system where everyone ranked features based on impact and feasibility. This process not only helped us prioritize effectively but also strengthened team cohesion, as everyone felt heard and valued. In the end, we chose features that aligned best with our strategic goals and customer needs.

When your startup team is divided on feature prioritization, start by aligning on your overall business goals. Use data-driven insights to assess the potential impact of each feature on customer satisfaction, revenue, and growth. Consider conducting a weighted scoring model to evaluate features based on factors like urgency, feasibility, and user value. Facilitate open discussions to ensure all perspectives are heard, and aim for consensus. If necessary, prioritize a minimum viable product (MVP) approach.