The Optsee® User Interface Is Designed For Business

Optsee® takes the guesswork out of your business portfolio and budgeting decisions. It uses an easy to follow step-by-step process to objectively rank and optimize your business investments based on your business drivers, strategic goals, and risks.

Optsee brings together the most advanced prioritization and optimization algorithms available in an off-the-shelf application. Optsee® is designed to give you unprecedented insight into your business decisions while being easy to learn and use.

Optsee® forms make data entry and display clear and easy

Optsee forms make managing your decision models and portfolios easy. Data can be imported from Microsoft Excel, and data and charts can be exported for use in other programs. You can save multiple custom views of a portfolio and easily perform complex queries and sorts so you can compare different portfolio ideas quickly. You can also duplicate entire sets of decision models, portfolios, and charts in a few mouse clicks.

You can set baselines for your choice values, and you can track changes via color coding in choice and portfolio form fields (yellow represents a minor change from the baseline and red represents a major change).

All major forms have a contextual help button in the lower left corner, so help is always available.

Figure 1: Form Examples

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Optsee® charts give you an insghtful look at your data

Optsee has easy-to-use interactive custom charting for preparing bubble charts, sensitivity charts, and scatter charts. Bubble charts display three dimensions of data, and the comparison chart form can display two bubble charts (or scatter charts) side-by-side. Sensitivity charts show you how the overall attractiveness of each choice changes as an attribute value or weight changes. Scatter charts show you the orientation of your choices in the X-Y plane and the assigned uncertainty in each choice (using error bars).

Figure 2: Optsee® Custom Chart Examples

In addition to these charts, Optsee® has over 30 other easy-to-use built-in chart formats, including rotating 3D charts that let you see multiple views of your portfolios. All charts re-draw in real-time as you test different combinations in your portfolios.

Figure 3: Other Optsee® Custom Chart Examples

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The Optsee Prioritizer™ gives you a solid and robust product ranking

Where most multi-criteria applications only let you create and analyze your portfolios in a few individual decision model at a time, Optsee® lets you analyze your portfolios in up to 100,000 different decision models in just a few minutes by using a Monte Carlo simulation, and then displays the results in easy-to-understand charts and tables. Plus, where other applications only accept single-point choice values ("cost is $65,000"), Optsee® lets you enter choice attribute values with uncertainty ranges ("cost is $65,000+/-5%) spread over different distribution curves.

Figure 4: Prioritizer Output Form Examples

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The Optsee Optimizer™ shows you the best selection of projects for maximum return

Automated optimizations against multiple constraints such as limited dollars, time, and/or resources lets you discover optimized portfolios from billions or trillions of possible portfolios. You can also optimize to efficient frontiers to make sure you are getting the most from your resources. You can simultaneously optimize against four different constraint types:

  • not more than
  • not less than (maximizing)
  • average not more than
  • average not less than (maximizing)

You can run and compare multiple optimizations including optimizing with selected choices "forced in" (non-discretionary) or "forced out" of the final optimized portfolio. This is great for building budgets.

Figure 5: Optimizer Output Form Examples

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Multiple attribute curve types let you create realistic models easily

You can select from eight different attribute attractiveness (or utility) curve types for your models including linear, logistic (S-Type), incremental (step), normal (Gaussian), and triangular. Each curve type is fully customizable with a mouse click, so you can match the model to your data, not force the data to fit your model. Discontinuous attributes let you assign attractiveness values to categorical (text) data such as color, department, therapeutic area, etc.

Figure 6: Multiple Attribute Curve Type Examples

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