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And now we have all the deliverables
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and the precedence diagram showing
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how they come together,
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it's the right time to ask
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deliverable owners to estimate them.
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Few people enjoy estimating at first,
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as it just seems to be an opportunity
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to be wrong some day.
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However, with a bit of practice,
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most people actually do start to like it,
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since it (A) gives them control
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over the estimate,
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and (B) as they get better at it,
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they want to see how close they can get.
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Here are some best practices that can help.
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There are five basic methods of estimating.
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First, analogous.
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By analogy, or comparison to something similar.
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Often used for the plus or minus 100% estimate
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in the initiation stage.
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For example, this project is about twice
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as complicated as that project, so we estimate
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twice as much time and cost for this one.
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Historical, where you use hard estimating data
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from past experience.
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For example, it costs X dollars to paint
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100 square meters, so it will cost about
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80 times as much to paint 8,000 square meters.
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Then there's PERT and the very closely
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related three-point.
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The PERT and related straight three-point
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method estimates the best case,
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most likely, and worst case,
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and then averages the numbers.
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It's much better than a single point guess,
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as we'll see in an example in later slides.
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Then there's Delphi, where you ask
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several experts, have them compare their responses,
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and discuss the reasons for their different estimates.
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And iterate until consensus is reached.
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This method can be used for anything,
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however, it's used most often for estimating
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risk percentage and time, as we'll see
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in later slides.
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And then finally, activity breakdown.
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The best method of all for deliverable estimation.
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When the owner of a deliverable breaks it down
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into the activities required to implement it,
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estimates the activities individually,
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and rolls them up.
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We'll take a look at some examples soon.
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Activity breakdown is by far the best
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estimating method for deliverables.
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And is really required for any project
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where a final planning accuracy of plus or minus
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10% is desired, for two reasons.
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First, only by thinking through the activities
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required to create the deliverable,
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can the true cost and time be identified.
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Humans can keep at most four things
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in their mind at once, and so can't see
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the detail unless they think it through,
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otherwise, they will most certainly underestimate
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the amount of work required.
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And second, you benefit from a magic property
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of statistics.
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The sum of the estimates of the activities
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at the deliverable level is more accurate
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than the estimate of any single activity
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because some of the error cancels out.
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Let's take a closer look at this
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in the next slide.
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