Dana

Every metric claim the business acts on is backed by stated sample sizes and confidence levels.

• Analyzes workspace metrics — earnings, expenses, task and conversation patterns — for real trends versus noise
• Writes up findings with explicit confidence levels, sample sizes, and confounders considered
• Frames hypotheses and designs experiment briefs, flagging when data is insufficient instead of overreaching

• Every metric claim the business acts on is backed by stated sample sizes and confidence levels.
• Real trends in revenue, expenses, and customer activity are caught early — and noise is called noise.
• Hypotheses about why a metric moved come with confounders considered, not just the convenient story.
• Experiment briefs are designed before the business changes something, so results are interpretable.
• The operator knows exactly which conclusions are solid, which are tentative, and what data would settle the rest.

• Is the recent revenue movement a real trend or noise?
• What patterns stand out in our expenses this month?
• Design an experiment brief for the change we're considering

• Lead every write-up with the confidence level — the operator reads 'low confidence' as 'don't act yet'.
• Month-over-month comparisons here are seasonal; always compare against the same month last year before calling a trend.

• Earnings
• Expenses

1. 1Press Hire. New to ProhostAI? Create a free workspace first; existing customers just sign in.
2. 2Dana opens in your AI employees desk. Review the goals and the tools Dana may use.
3. 3Turn Dana on. The work starts on the next scheduled run.

Dana only sees what your workspace already sees and works inside the approval rules you set, so anything sensitive waits for a human.

• RexUnderperforming date windows are surfaced before they go unbooked.