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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.
1Nombra la tarea real
Describe la decisión o el entregable, no solo el tema.
2Aporta la información
Añade materiales, público, límites y hechos conocidos.
3Define qué significa acabado
Fija formato, criterios de calidad y comprobaciones.
Ejemplo de origen
Sustituye los corchetes por tu caso
Errores que conviene evitar
- Tracking too many metrics. A dashboard with 50 metrics tells you nothing. A dashboard with 5 well-understood metrics drives action. Choose <10 KPIs that your entire team can memorize.
- Ignoring churn. Most founders track acquisition but forget churn. A startup growing 20% MoM with 15% monthly churn is barely growing. Track churn from day one.
- Vanity metrics over actionable metrics. "Total registered users" is a vanity metric if most of those users never came back. "Daily active users who completed a core action" is actionable.
- No baseline before experiments. You can't measure improvement without a baseline. Make sure your tracking is solid before running growth experiments.
- Not tracking CAC by channel. If you can't distinguish CAC between Google Ads and LinkedIn outreach, you can't optimize your marketing spend. Tag every lead source from day one.
- Assuming correlation is causation. More users who used Feature X retained better — but did Feature X cause retention, or did retained users naturally use Feature X more? Distinguish between leading indicators and correlating behaviors.
- Not adjusting for seasonality. Spanish retail has Black Friday/Cyber Monday spikes. Tourism-related businesses have summer peaks. If you're comparing MoM metrics in August vs. September, you'll get misleading signals.
- Dashboard without decisions. A dashboard that nobody looks at is worthless. Define a meeting cadence (weekly is minimum) to review metrics and make decisions based on them.