We have found that comparing objective data against data from previous evaluations, often termed benchmarking, is invaluable in providing accurate and actionable results. Compare this to measuring against industry norms or rules-of-thumb. With real-world comparative data from other evaluations, your results are defensible. And, the more comparative data you have the better these results. Comparing objective data to industry norms or rules-of-thumb has some value, but the value is proportional to the accuracy of those data points, which is impossible to determine.

Quantitative data plays a pivotal role in technology evaluation, providing objective metrics that guide decision-making. By analyzing numerical data, such as performance benchmarks, user statistics, and cost-efficiency ratios, stakeholders can assess a technology's effectiveness, scalability, and ROI. This data-driven approach enables precise comparisons between alternatives, highlights potential improvements, and supports predictive analytics for future trends. Quantitative metrics also enhance transparency and accountability, making it easier to justify investments and strategic shifts. Ultimately, leveraging quantitative data ensures informed, evidence-based evaluations that drive technological advancement and innovation.

Qualitative data is crucial in technology evaluation, offering deep insights into user experiences, satisfaction, and contextual performance. Through interviews, focus groups, and user feedback, stakeholders gain a nuanced understanding of how technology meets needs and fits into real-world scenarios. This data highlights strengths, identifies pain points, and reveals user preferences, guiding enhancements and user-centric design. Qualitative analysis uncovers underlying reasons behind quantitative metrics, enriching the evaluation process. By integrating qualitative insights, evaluations become more comprehensive, ensuring technology solutions are not only effective but also well-received and user-friendly.

We very much agree. With respect to evaluating the technology of software companies who are the subject of intended acquisitions or investments, the first step in the process should be understanding the client's acquisition / investment thesis and the contemplated transaction cost. With that background, you can advise the client on the breadth and depth of analysis which will best meet their needs. In transactions of this kind, we believe the most important areas to evaluate are the software architecture / design (via discussions with engineers), its implementation (via comparative metrics), the composition, strength and maturity of the engineering team, and the engineering practices they employ.