We wonder what people are REALLY thinking.

Traditional quantitative research is generally limited by it’s inability to ask and analyze open-ended questions. It may tell you what is going on with talent – how they rank in the market and whether viewers think they can succeed — but it doesn’t tell you why it’s happening. And, more importantly, whether there is anything that can effectively be done about it.

Traditional qualitative research is limited by the cost of testing a meaningful sample and by the bias inherent in the analysis, which is usually a matter of consultants and news managers simply listening to the conversation and reporting their impressions. These weaknesses tend to limit the scope of the research to well-established and predictable insight, severely limiting the chance that the investigation wield new insight and effectively tell us what we don’t we don’t know — and, more importantly, whether there are changes we can coach that will make a real difference.

Using technology and a proprietary blend of linguistic analyses, we overcome those limitations. We can ask open, unloaded questions and evaluate an unlimited amount of data more objectively than ever before and without the bias inherent in both the administration and analysis of traditional studies. As a result, we’re more likely to hear and understand what viewers are really saying and less likely to be limited by what we want or expect to hear.

If you think there may be more to what your viewers have been telling you, we would love to talk about how we can help.

We let viewers talk without telling them how to talk.

Quantitative Text Analysis

We ask viewers open-ended questions about their expectations and impressions of talent in ways that don’t predetermine or limit the scope of their responses. Then we let the computers tell us what viewers are saying matters most to them. The resulting insights can be as meaningful to the people who produce and market talent as they are to those of us who coach them.

Natural Language Processing

Armed with a viewer-generated (as opposed to researcher-generated) view of what matters most, we use NLP to dive deeper into viewer responses. Using proprietary analysis tools designed to look specifically at personality and performance attributes, we get a detailed picture of how delivery is succeeding or failing — and whether there is anything that can be done that will really make a difference to viewers.

Targeted Coaching

This in-depth analysis of what people are saying helps us understand what impressions are truly driving viewer reaction to talent. We use those insights to design coaching that goes right at any changes most likely to make a difference. We’re able to present talent — and the teams that support them — with research-driven, targeted coaching.

We're learning more from focus groups.

When focus groups are the right choice, we analyze transcripts of the conversation with the same tools we use in larger, quantitative studies. It adds a layer of analysis and insight that takes us beyond what we can hear with the "naked" ear. You get the same rich, qualitative experience that always comes with hearing your viewers talk about your work and your team — and the possibility of learning something you otherwise may have missed.

TV HeadCoach: Coaching Software for News Managers

TV HeadCoach is software designed to help newsroom leaders coach in a way that builds winners and winning teams. I originally built the portal and app to support my own work, and it’s had a huge impact on my ability to inspire real, long-term improvement in the people I serve. If coaching is in your job description, I’d love to show you how it’s helping me and my clients do a better job every day — and could do the same for you!

Barry Nash