We understand that you know your own business better than we do (unlike some consultants).  We respect our clients' hard-won experience and knowledge, and constantly challenge our own thinking and assumptions.  But we are good at coming up with solid, realistic recommendations for positive change, both strategic and tactical.

We offer scenario planning workshops that actively involve you and your internal stakeholders in creating a landscape of likely and preferred scenarios for your enterprise X years from now.

A significant part of our consulting work involves working with other research firms and consultants in strategic partnership.  We can add our expertise in creative research design, data collection, analysis, and story-telling to your initiatives with your own clients and prospects.  This collaboration yields an optimal, integrated product for the client as well as a mutual learning experience for all parties.

We also specialize in applying our expertise at pattern recognition to your existing market research.  Because of the fast-paced workflow typical of most research operations, there are often overlooked or ignored insights that can significantly and cost-effectively contribute to your understanding of your markets.  We use an eclectic toolkit of quantitative and qualitative techniques to creatively explore your existing data in search of additional insghts.

A few real-life examples of our special value-added service follow:

Medical manufacturing - decomposition of c-sat tracking data coupled with verbatim analysis to reveal underlying causes of 'noise' in the model, leading to better detection and more focused strategic responses to customer issues

Foodservice - piggyback analysis of QSR mystery shop data, adding unit category sales performance data to tease out drivers of chip sales

Telecoms - multilevel recoding of lost customer comments to yield more accurate and actionable reasons for churn

Agriculture - post hoc exploratory segmentation of NAFTA vegetable growers, yielding targeting insights based on acreage and seed brand/channel preferences

IT - ethnographic exploration of unanticipated implications of changing the spatial work configuration of teams of systems operations reps, leading to more nuanced planning, retained productivity, and increased worker satisfaction

Other examples include ad hoc re-segmentation, searching for time-of-day or prior brand experience effects on purchase, recoding qualitative data around new themes or triggers, and combining waves of data for trend analysis. This is a particularly effective way to stretch your research budget by pulling in pattern recognition experts as needed to augment the output of your research staff.