The concept of “transparency” is popular among product innovators and thought leaders and still guarded with suspicion by P&L owners and c-level execs. There are good reasons for debate on both sides of the divide. What do I mean by “transparency”? Many web applications gather business intelligence by collecting data in the background and present the resulting analytics in a near real-time stream of metrics. A good example is the stock market as viewed from Google Finance. These business intelligence tools and graphic displays of metrics are in every industry dashboard and toolset across most industry apps. I could list almost every one I have seen from HR apps, medical market research, banking, investments, telco phone charges, advertising metrics and Bloomberg professional service, of course.
Here is the issue. With growing ability to display meaningful metrics, applications can easily display usage data to their own users and BI analytics that clearly share usage patterns and community segmentation. The leaders in this trend still tend to operate on the fringe, with more “edge-y” sites embracing this transparency of usage, segments and categorization. They tend to be youth oriented, R-rated or a niche play. Larger sites and public companies tend to see BI data as competitive intelligence and guard all usage metrics closely. I am beginning to see things differently and sense there are benefits to being more transparent with metrics.
When you consider the growth of reader ratings, Digg recommended content, and user-generated advice then the trend is moving towards a more transparent model. Social networks and social marketing that use brand oriented communities have stepped lightly forward, cautiously. In the end people vote with their feet, irregardless of marketing’s best intentions. These short-term approaches and early ventures may be cautious with published data. However, most applications, social networks and communities may benefit from a more transparent approach to who is online, why and to what benefit.
Embracing this transparent approach means tolerating “snarky” remarks and complaints, as well as, good ideas and suggestions with the capability for the users to vote for what they like best. This often works for one reason alone. There are monitors and resources standing by to react decisively to the input. Creating this type of fishbowl only works if it is dynamically “oxygenated”, and that means active users with internal counterparts who will quickly respond with action plans and communicate back to the users. Transparency also means calling out the trends and summarizing what is important, even if some users don’t want to go along and wish to stay in smaller niches within the site. It’s a democracy to a degree, and in some regard, every niche must be catered to, but sometimes the course is a populist vote that makes a decision to move in one direction.
For example, I worked on a dashboard that had excellent segmentation of the users and a breakdown of the topics of discussion with many options to filter and chart the health of the community. These dashboard metrics were internal and shared with clients, but not shared with the users themselves. Why? at first glance, the effort to share metrics and BI data was not a business driver. However, I believe transparency of metrics and engagement would further promote community participation and speaks to the company commitment. The most important aspect to tackling this effort, would have been fast follow-up and a clear communication of requests, company actions and scheduled delivery. Looking at Facebook the analytics pose a more difficult question. Would a metrics showing the number of 40+ users cause younger users some angst? Would certain metrics be shared and thus others avoided. The answer is yes, and deciding what and how it will be supported, critical.
When tackling BI metrics and analytics, I think the time has come to consider what the benefits might be of openly sharing the metrics with your most important asset, the user. Some users will find published metrics and analytics the perfect tool to become further engaged. Using charts and graphs to drill into new interests for themselves within the site and to share insights by suggesting improvements and site innovations.