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Once we have some decent time tracking data, it could be useful to create a simple model that uses "billable doing", "non-billable doing", and " selling" and has a way to modify those over time. For example, perhaps first 3 months for someone is 100% "non-billable doing" and then the ratios change over time. We could have a parameter that was translated "time spent selling" in time period A to revenue in period B. All of this seems super noisy, but maybe the goal would be less about "prediction" and more just as a tool that might help us understand how those fractions influence (or don't) our financial situation.
how can we estimate increased revenues from adding people and incorporate this into our
hiring_confidence.py
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