Land Due Diligence Process: Difference between revisions
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=Critical Items= | =Critical Items= | ||
*Comps - while our model should work anywhere, we need to get an idea prior to building so we can be testing revenue outcomes, not guessing. If we can calculate a predicted value, this helps us guide the cost structure and decisions during the build. We have more focus, as opposed to 'let's see what happens'. We are testing our ability to obtain specific outcomes. | *'''Comps''' - This is the critical indicator for revenue from a build, though we may find that comps are not important - ie, our model remains robust under all conditions. Robustness (under all conditions where others would not dare venture) is the ideal outcome, and we are shooting for robustness to the level of build feasibility under all conditions. Including ghetto, where we have means to manage risk and control costs via model flexibility: such as using local labor, volunteers, and stone soup in general while empowering everyone. while our model should work anywhere, we need to get an idea prior to building so we can be testing revenue outcomes, not guessing. If we can calculate a predicted value, this helps us guide the cost structure and decisions during the build. We have more focus, as opposed to 'let's see what happens'. We are thus testing our ability to obtain specific outcomes. | ||
Revision as of 19:13, 11 October 2022
Critical Items
- Comps - This is the critical indicator for revenue from a build, though we may find that comps are not important - ie, our model remains robust under all conditions. Robustness (under all conditions where others would not dare venture) is the ideal outcome, and we are shooting for robustness to the level of build feasibility under all conditions. Including ghetto, where we have means to manage risk and control costs via model flexibility: such as using local labor, volunteers, and stone soup in general while empowering everyone. while our model should work anywhere, we need to get an idea prior to building so we can be testing revenue outcomes, not guessing. If we can calculate a predicted value, this helps us guide the cost structure and decisions during the build. We have more focus, as opposed to 'let's see what happens'. We are thus testing our ability to obtain specific outcomes.