PRODUCTSOLVETM VIDEO OVERVIEW (1.75 Minutes)
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CONTACT / QUESTIONS
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KEY SOFTWARE FEATURES
KEY ANALYSIS and SIMULATION MODELING FEATURES
WHAT'S UNDER THE HOOD? (TECH VIDEO)
What if :
Moreover, what if:
Last, what if that resulting product design decisioning platform:
What would you have? You would have ProductSolve™ a decision support platform that uses the captured decision drivers of customers to build or redesign the products customers really want. Another main benefit? E-customers cut your survey costs by 90%...because they can be repeatedly presented with new product ideas...and never get tired.
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KEY BENEFITS (Place your pointer over the benefits to see the short description.)
ProductSolve™ makes it possible to test product design strategies because it: 1) uses a specialized survey design that obtains seven key categories of data 2) calculates from that survey ultra accurate importance scores (utilities) for each respondent (see benefit three) 3) obtains key behavioral thresholds that determine how much summed preference are required to get each individual respondent "off the dime" 4) leverages an advanced analysis system that finds all significant differences in importance, performance and expectation 5) employs goal solving simulators that map to real-world outcomes (RWO's).
One of the primary reasons why ProductSolve™ outperforms other simulators relates directly to our adaptive survey system. That system: 1) reduces irrelevant attributes for each respondent 2) reproduces the real-world purchase environment 3) requires the respondent to make the same product feature trade-offs in the survey that they must make in real life 4) adapts in real time to prior choices to zero-in on that particular consumer's most critical values and 5) discovers "how much" preference (summed importance) it takes to meet real-world thresholds (e.g. switching, purchase, etc.)
One of the truisms of decision-support systems is that it can only be as accurate as the respondent-level utilities that undergird it. One of the central reasons why ProductSolve™ is so accurate is that we don't used a "canned method" to calculate the utilities. In fact, we search and solve for the optimal market level utility set by testing over 20,000 combinations of algorithms, weightings, exponents and "TopK" cutoffs. This guarantees that we empirically converge upon the utility set that best reproduces real-world outcomes (RWO's) such as sales, new customer capture, switching, etc.
Once we have 1) captured the value system (the importance scores) of each customer and have 2) captured "how much" additional preference is needed to "get consumers off the dime," then, in effect we have created an electronic copy of the customer: an E-customer. The advantage of an E-customer? E-customers respond as original customers do except they never get tired...and never need to be paid! When E-customers are placed inside market simulators they allow us to test millions of potential products per day. The result? More comprehensive risk-mitigation while lowering marketing spend.
The correct theory is necessary, of course, but in the final analysis commercial decision support platforms must predict real world outcomes (RWO's.) ProductSolve™ leads the industry in predicting real world outcomes. This reason? First, ProductSolve™ produces the most accurate respondent-level importance scores (utilities). Second, we use a proprietary approach to finding behavioral thresholds in the survey. Third, we exhaustively calibrate to real-world outcomes using both internal and external calibration techniques.
It has never been enough to just guess at an outcome.! Nonetheless, many simulation-based approaches only allow manual "what-iffing." In contrast, truly thorough risk-mitigation requires goal-solving. The goal solving built into ProductSolve™ is called Multi-Attribute Simulation Scanning or MASS. MASS automatically builds and tests millions of products to find the subset that produces critical real world outcomes (RWO's) such as maximal new customer capture, switching, etc.
One of ProductSolve™'s most powerful capabilities is its marginal benefit model (MBM). The MB model combines ProductSolveTM's real world outcome model (e.g. new customer capture, likelihood of purchase, switching, retention, etc) with two types of cost data, cost to implement (CTI) and cost to serve (CTS) data. By using CTI and CTS, the Marginal Benefit Model finds strategies that maximize real world outcomes at the lowest cost. The MB model, quite literally, searches and solves for optimal changes to your product or service that will yield the maximal "bang for the buck."
Most marketers are aware that, not infrequently, the entire profit model from a product or service may arise from only one or two market segments. Accordingly ProductSolve™ has the capability to automatically set up and scan for 1) significant analytical findings (e.g. importance, performance, expectation, etc.) and 2) optimal products across hundreds or thousands of market segments. The latter capability can be combined with goal-solving to automatically search and solve for product configurations within segments of customers that will produce optimal real world outcomes (RWO) for your product or service.
One of the most powerful features of ProductSolve,™ is it's ability to search and solve for things we would normally never think of. It does this by automatically scanning any type of data (performance, importance expectation) and finding statistical differences between known or derived market segments. This remarkable capability, computer-aided significance scanning (CASS), finds natural breaks in the data that a) directly translate to new product ideas and b) provides insights into previously undiscovered segmentation insights.
Although ProductSolve™ is an advanced decision support tool, it has been designed to be extraordinarily easy to use. To make ProductSolve™ even more immediately useful we have combined the metaphor of the standard user manual with innovative sections on theory and practice. By including many of the actual exercises we use in our on-site training, a number of our clients have used ProductSolve™ with no additional training beyond the manual itself.
Enables Accurate Product Design
Reproduces the Real World Purchase Environment via an Adaptive Survey
Yields the Most Accurate Drivers Using Hybrid Advanced Mathematics
Builds E-Customers...the Asset That Lies at the Heart of ProductSolve
Produces Real World Outcomes
Implements Goal Solving
Identifies Changes That Maximize Profit at Minimum Cost (Marginal Benefit)
Identifies Optimal Segment Strategies
Mines All Significant Differences for All Market Measures Automatically
Combines Ease of Use with Advanced Training Within a Single Manual
KEY SOFTWARE FEATURES (Click on the plus signs below to expand.)
KEY ANALYSIS AND PRODUCT DESIGN FEATURES
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WHAT'S UNDER THE HOOD? (Enabling Technologies Video)
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PRICING and PURCHASE (Roll over to see pricing)
Includes software and the training manual (both via download).
Available 4Q 2017
Includes software, training manual (via download) and a one-day training session (on-site or video conference.)
Available 4Q 2017
Includes software, training manual (via download) and a two-day training session (on-site or video conference.)
Available 4Q 2017
ProductSolveTM v. 9.0 Software Only*
ProductSolveTM v. 9.0 Software Plus Full-Day Training**
ProductSolveTM v. 9.0 Software Plus Two-Day Training**
* = Quoted software pricing is for a single-seat license. For volume or site license pricing click here.
** = For on-site training add prevailing travel and expenses (typically $750.00) per diem.) All fees must be paid in advance to schedule travel.
FREE ProductSolve™ DOWNLOAD AND 15 DAY TRIAL
The vertical consulting version of ProductSolveTM (Version 8.0) is currently being converted to Version 9.0, which will be capable of being installed on any Windows laptop, desktop or server. SatisfactionSolveTM 9.0 (seen in action in the videos above) will be available for download in the first quarter of 2017.
ProductSolve™ USER MANUAL REVIEW AND DOWNLOAD (PDF)
Download the ProductSolve™ User Manual (2MB PDF)