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Which Questions to Clients Have Become Indecent in the Era of Neural Networks: A Revision of Rackham's Methodology

On October 30, 2026, an article was published on Habr about how neural networks have changed the application of Neil Rackham's SPIN methodology in sales of complex systems. Expert Igor Shubin examines which questions have become outdated and which still work.

On October 30, 2026, an article titled "Which Questions to Clients Have Become Indecent in the Era of Neural Networks: A Revision of Rackham's Sales Methodology" was published on Habr. The material appeared in the blog of the company SimpleOne. The authors examine how neural networks have influenced the SPIN methodology (situation, problem, implication, and need-payoff questions), which is almost 40 years old.

Previously, a salesperson could not quickly gather information about a client. In the late 1980s, information about a company was obtained from brochures, and the question "what does your company do" was normal. Now neural networks allow one to learn in minutes the field of activity, turnover, and number of salespeople. If a salesperson asks a question whose answer is on the client's website, it looks unprofessional. The client may be surprised or laugh the salesperson to scorn.

The article notes three changes that have affected sales since the late 1980s: the information revolution, the quality revolution, and the shift to sales based on agreement. Rackham himself acknowledges this. Today the client often knows more about the product than the salesperson, and long meetings with general questions lose their meaning. The salesperson needs to prepare for the conversation using available data and ask only those questions that truly deepen the dialogue.

30 октября 2026 года на Хабре вышла статья о том, как нейросети изменили применение методики СПИН Нила Рекхэма

In practice, this means that some questions from Rackham's methodology have become outdated. For example, situation questions about basic company facts can now easily be replaced by preliminary analysis. However, problem and implication questions aimed at identifying pain and consequences remain workable. Expert Igor Shubin, head of the SPINCAT Academy, explains how to adapt the methodology for IT sales.

It remains unknown which specific questions the authors consider indecent and how exactly neural networks help in gathering information. There is also no data on how widely Russian salespeople already use neural networks to prepare for meetings.

↗ Primary source: Habr