Del archivo al resultado útil
Cómo pedir trabajo con esta skill instalada
Instalar la skill da un método a tu IA. Tu petición todavía debe aportar los hechos del caso, las restricciones y el entregable esperado.
Describe la decisión o el entregable, no solo el tema.
Añade materiales, público, límites y hechos conocidos.
Fija formato, criterios de calidad y comprobaciones.
Errores que conviene evitar
- Asking hypothetical questions. "Would you use this?" is useless. People say yes to hypotheticals and no to real commitments. Instead: "Would you give me €50 to try the beta for a month?"
- Interviewing the wrong people. Talking to people who won't actually buy your product (e.g., users instead of budget holders). In B2B, the user and the buyer are often different people.
- Confirmation bias. Hearing what you want to hear. Bring a notetaker or record the conversation. Review notes with a skeptical co-founder who wasn't in the room.
- Not running concurrent validation. Waiting months for interview results before doing any quantitative testing. You should be running qualitative and quantitative experiments simultaneously.
- Small sample sizes with big conclusions. 2 interviews don't give you validation. 10 interviews give you a signal. 30+ interviews give you confidence.
- Ignoring churn and dropout. Interview your churned customers too. Understanding why people leave is as important as understanding why people join.
- Not defining success criteria before the experiment. If you don't decide in advance what result would make you proceed vs. pivot, you'll always find a way to interpret ambiguous data as "positive."
- Forgetting the Spanish payment reality. Spanish companies pay late. If you're selling B2B software to Spanish PYMEs, model cash flow accordingly. Don't assume 30-day payment terms — plan for 60-90 days.