We are launching a brand-new AI consulting service division and have no historical data to establish baseline performance. How do we create a weekly Scorecard with realistic targets when we are starting completely from scratch?

Question

Tyler Smith · Accepted Answer

Starting a brand-new division or product line can paralyze a leadership team because they feel they lack the historical data to set realistic weekly scorecard targets. They worry that arbitrary targets will either demotivate the team or prove completely meaningless. This is a common trap. You do not need historical data to run on data; you simply need a starting hypothesis. When launching something new, build your Scorecard using activity-based leading indicators derived from your business model assumptions. For example, if your financial model requires five new clients a month, work backward to determine the necessary activities: how many sales presentations, outbound reach-outs, or product demonstrations must occur weekly to achieve that outcome? Set those calculated numbers as your initial targets. Acknowledge to your team that these targets are educated guesses. Commit to tracking them for four to six weeks without changing them, then use that fresh data to adjust the targets during your next quarterly planning session. This approach prevents operational paralysis and establishes a culture of accountability from day one, ensuring your new venture is managed systematically rather than by gut feel.