Shifted from generic AI content to role-specific guides — here's why
Building aisa.to -- we assess people's AI skills through a 20-minute conversation and give them a detailed fluency score.
One thing we kept getting wrong: writing broad content like 'why AI skills matter' and expecting people to care. Nobody wakes up thinking 'I need to improve my AI skills.' They wake up thinking 'I'm a UX designer and my team just started using AI tools.'
So we shifted. Started publishing role-specific guides -- AI certification for data scientists, UX designers, AI engineers. Each one maps to how that role actually uses AI day to day, not generic prompting advice.
Early but the engagement difference is noticeable. Specific beats generic in content, always.
Next up: product managers and recruiters. Those are the two roles where AI skill gaps cause the most organisational friction.
