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The most commonly used techniques for creating project estimates are analogous estimates, bottom-up estimates, three-point estimates, and using a parametric model.
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Quick reference
Estimating Techniques
The most commonly used techniques for creating project estimates are analogous estimates, bottom-up estimates, and using a parametric model. All of these techniques rely on some level of expert judgment and at least a tentative plan for how the work will be done.
When to use
Estimates are used when planning a project or when replanning a project due to a change. This will occur at the beginning of a project or project phase.
Instructions
There are many techniques that can be used. Listed below are the most common:
Analogous estimate
This technique bases the estimate on the experience of a similar project. It relies on someone having done this type of work before. This is a very quick technique, but the estimate is very dependent upon who is doing the estimating and their experiences.
Bottom-up estimate
This estimate requires that the activities of the project be decomposed into very small “micro-tasks.” Smaller tasks are usually easier to estimate accurately because all of the work is understood and you can normally find someone who has done a similar “micro-task” and can provide you with an analogous estimate. An entire project estimated in this manner will have an accurate estimate, but it can take a long time – sometimes months – to decompose all the tasks into “micro-tasks”.
Parametric model
In this case, the experience of many projects has been codified into a formula. The formula uses one or two parameters that are easily determined during project planning. By entering these parameters into the formula, a cost estimate or time estimate is derived. For instance, the time estimate on a shipping task may use a distance parameter in the formula.
Login to download- 00:04 Hi, I'm Ray Sheen.
- 00:05 I'd like to talk with you about project estimating and
- 00:08 some of the more commonly used project estimating techniques.
- 00:12 Project plans incorporate estimates for both the amount of effort or
- 00:17 cost on each task and the duration of each task.
- 00:20 Those are what we use to build the budget and schedule.
- 00:23 There are many techniques used for
- 00:25 determining the likely required amount of costs, resources, effort, and duration.
- 00:30 If your organization has a favorite, by all means use it.
- 00:33 In my experience, some of the more commonly used ones are Expert judgment,
- 00:38 Analogous, Bottom up, Three-point estimates, and Parametric Model.
- 00:43 Others that are occasionally used are Simulations, Vendor bid analysis,
- 00:47 Group decision-making techniques, Reserve analysis, and
- 00:51 even Cost of Quality analysis.
- 00:53 The most commonly used method is Expert judgment.
- 00:56 The project team relies on the person with the most experience, or
- 01:00 who is assigned responsibility for a task, to create the estimate.
- 01:03 Whatever that person says they need,
- 01:05 that is what they're going to get in the project plan.
- 01:08 However, when the project plan then takes too long or costs too much,
- 01:13 one of the other techniques is often used to refine the expert's estimate.
- 01:17 Let's go through some of the more commonly used techniques.
- 01:21 The Analogous estimate is often used, in fact,
- 01:24 is what most experts use, when providing their expert judgment.
- 01:29 It is an estimate that's based upon the actual cost from
- 01:32 a similar project or task.
- 01:34 The subject matter expert uses an example of a previous project to
- 01:38 explain why they have set the estimate at a particular level.
- 01:42 The more examples the subject matter expert uses,
- 01:45 the more confidence in the estimate.
- 01:47 This is often a very good approach if we haven't yet
- 01:50 done detailed project planning.
- 01:52 Even without the details,
- 01:53 we know that a certain type of activity will take this long and
- 01:57 cost this much because that's what has happened on the last few projects.
- 02:01 The caution with this approach, for an Analogous estimate to be accurate,
- 02:06 it is essential that the previous projects are truly similar to this project.
- 02:10 The next technique is the Bottom up estimate.
- 02:13 This technique is appropriate when you do have detailed planning.
- 02:16 In this technique, all the major deliverables are divided into smaller and
- 02:21 smaller tasks until they are at the lowest level of activity, micro tasks.
- 02:26 This is often done using the work breakdown structure tool.
- 02:29 On Agile/Scrum projects,
- 02:31 this is done in sprint planning as tasks are created for each of the stories.
- 02:35 Small tasks are normally much easier to estimate because the amount of work is
- 02:40 defined and limited.
- 02:42 All of the small task estimates are added to get a deliverable or story estimate,
- 02:47 and these are added to get a total project level estimate.
- 02:50 If the deliverables are deployed into micro tasks effectively, this approach
- 02:55 will give a very accurate estimate, but it can take a long time to develop.
- 02:59 However, many projects are not able to deploy
- 03:02 the deliverables into micro tasks because there's just too much uncertainty.
- 03:07 The next technique I want to discuss is called Parametric Model.
- 03:11 In this case, a formula has been created and adopted by the organization for
- 03:15 estimating certain types of activities.
- 03:18 The formula uses one or more of the project assumptions and
- 03:21 constraints, and provides an estimated value for effort, cost, or duration.
- 03:26 These models can be very simple or very complex.
- 03:29 They're normally developed over a long time for activity or
- 03:32 tasks that are conducted on most projects.
- 03:35 They're very common in some industries.
- 03:37 For instance, construction projects create estimates based upon the floor
- 03:42 plan area or the number of occupants for a building.
- 03:45 The accuracy of these estimates depends upon the amount of information that went
- 03:50 into the model, whether the parameters can be accurately estimated or
- 03:54 derived, and whether the model is scalable so
- 03:57 as to be applicable to the effort of the project being estimated.
- 04:01 The final technique is the Three-point estimate.
- 04:03 This estimate is often used in conjunction with one of the previously mentioned
- 04:08 techniques to create a risk mitigated estimate.
- 04:11 In this approach, three estimates are generated for each task,
- 04:15 a best case, worst case, and most likely.
- 04:18 For tasks and activities with a high degree of certainty,
- 04:21 these may all be the same.
- 04:23 But for those tasks and activities that have a high degree of uncertainty,
- 04:27 they can be very different.
- 04:29 These three estimates are combined in several ways depending upon how
- 04:33 the estimates will be used.
- 04:35 The standard approach is a triangular estimate which takes the average of
- 04:39 the three values.
- 04:40 So if the worst case is far higher than the best case and most likely,
- 04:45 the triangular estimate will be higher than the most likely.
- 04:48 The other method of combining these is the PERT estimate.
- 04:52 In this case, the most likely is heavily weighted as compared to the other two.
- 04:57 That means we add the best case, worst case, and
- 05:00 four times the most likely case, then divide that sum by 6.
- 05:04 A PERT analysis will then create three project plans,
- 05:08 one with all best case estimates, one with all worst case estimates, and
- 05:13 one with the PERT estimates.
- 05:15 This is used to inform the stakeholders about possible range and
- 05:19 results that they can expect.
- 05:21 Estimates are an important part of project planning.
- 05:23 And while we typically rely on the judgement of our subject matter experts,
- 05:27 there are other techniques that we can use to help create additional confidence in
- 05:32 the estimates.
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