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Is the Social World the End of Enterprise Feedback Management?

 

Today’s guest post is by Esteban Kolsky (@ekolsky). Back in 2002, Esteban conceived of the next-generation of survey software: Esteban called the market Customer Feedback Systems and began championing it at Gartner. As a visionary, he was the first to see where the feedback-management market was heading. At Gartner, he was a tireless evangelist of the need for top-down corporate adoption of feedback systems. Now with his own firm, ThinkJar, Esteban is a customer strategist devoted to helping organizations understand the opportunities created by social media. - Jeffrey 

Esteban KolskyEnterprise Feedback Management (EFM) is the best solution for an organization to merge structured feedback (surveys) and unstructured feedback (basically any other content that could be considered feedback) with organizational data to generate insights into their customers.  Until a few years ago the unstructured feedback, which amounts to around 95% of feedback available, came mostly from notes collected in the field, interviews with key customers or stakeholders, or responses to surveys that had essay-style answers.

Then the world turned social. 

The advent of the Social Customer unlocked the possibility to tap into a vast source of feedback previously unreachable.  Twenty times more feedback than before, and more honest unstructured feedback at that, began to appear.  Social Customers like to share their opinions, their likes and dislikes, and even their needs and desires in multiple platforms: Twitter, Facebook, LinkedIn, blogs and communities--to name a few.

Social “gurus” predicted that Social Feedback meant the end of EFM.

EFM diagramThe rise of this unstructured feedback sent EFM and analytics engines into a spin – it was too much information to be processed efficiently.  All this data, and resulting insights, adds an incredible amount of value to the organization in three areas: Customer Profiles (used by CRM to assist Sales and Marketing functions), Research and Development (where customers can contribute their ideas directly into the process), and Customer Service (where customers can identify and help solve problems earlier than ever).

These functions are at the core of what Social CRM does, making EFM a critical component of a Social CRM implementation.  Feedback Management became the fourth pillar of CRM (together with Sales, Marketing, and Customer Service – see Figure 1 above); Social CRM must use feedback to deliver value. 

model of feedbackSocial CRM is about an exchange in value between the company and the customer: the company gets precious and valuable data about likes, needs, and desires, and the customer receives a more personalized and effective interaction in return.  Detailed analysis of the data collected, combined with the feedback obtained, yields actionable insights that the company uses to improve interactions, products, and services.  The standard model of feedback (see Figure 2, to the left) of isolated events that are tied to specific interactions is giving way to an Experience Continuum (see Figure 3 below) where feedback becomes the key element of the interaction.

experience continuumIn this new continuum, the constant gathering of feedback, from both structured and unstructured sources, becomes the critical element for the Social Business as it becomes the source for actionable insights, telling the company what to do better next time.  Experiences, products, services, interactions – all get modeled and remodeled by the constant feedback stream generated by customers by both types of feedback.

The need for structured feedback does not go away, as it is imperative to know precisely the customer reaction to a specific event, but rather gets augmented by the addition of analyzed, unstructured feedback to complement the direct and purposeful collection via surveys.

As you can see, Feedback (and EFM) not only does not die in a social world – it becomes ever more critical: the already existing integration points, feedback events at critical junctures in interactions, analytical tools, and process workflows that EFM already has are all necessary and useful going forward – they simply end up working overtime with 20x more data.

Don’t you think?

Comments

I agree ! There's a continuum out there.. and the real challenge is to wisely merge the two sides of the reality: structured and unstructured... it's hard but this will be the game!
Posted @ Tuesday, July 27, 2010 2:05 PM by Carlo Alberto Degli Atti
Alberto, 
 
thanks for reading and commenting! 
 
Agree that the game is in the middle of the continuum - that is where the convergence between SCRM and E2.0 transform a business into a social business. And yes, it will be hard --- but lots of fun for sure.
Posted @ Tuesday, July 27, 2010 11:44 PM by Esteban Kolsky
Good food for thought, Esteban. As if companies didn't have enough data to work through to make intelligent, actionable decisions around their customers. Now along comes Social data to add to the EFM mix. The tools for structured and unstructured data analysis, sentiment analysis, and dashboarding have to become that much more powerful and easy to work with. Great opportunities in EFM space for people with backgrounds in customer experience, business intelligence, and social media. Definitely a fun space to be in right now.
Posted @ Wednesday, July 28, 2010 9:31 AM by Mark Orlan
Mark, 
 
I think that the power of the tools is not the biggest issue right now, we have plenty power. In my conversations I find that both the interfaces must become simpler to use, and (this is the critical part) we need to find more people who understand data and data management sufficiently to use those tools. 
 
Data analytics is to the 21st century what (and I am quoting from the movie now) plastics was to the 20th century, Ben. 
 
Thanks for the read and the comment! 
Posted @ Wednesday, July 28, 2010 9:52 AM by Esteban Kolsky
Esteban, 
 
Good food for thought. (What follows is some thinking on the fly.) 
 
There maybe a maturity curve associated with using unstructured and structured data for feedback management. 
 
Unstructured data seems most insightful when it is raw, and structured data is most insightful when it is analyzed. 
 
Imagine how current businesses use structured/unstructured data at various sizes. When a business is small, anecdotal feedback is enough for operational decisions. As the business becomes bigger, it moves to business metrics to guide its operations. And, as the business becomes even more complex, analytical insights become critical.  
 
It seems there is a natural progression from completely unstructured to completely structured. 
 
The next-gen business may also see a similar curve, but the end state will have a heavy proportion of (converted) unstructured feedback: 
 
Level 1) They will start with simple social feedback systems at first (unstructured heavy: "show me the anecdotal conversations").  
 
Level 2) As they mature, social metrics will be used along with conventional business metrics (beginnings of structured). 
 
Level 3) Finally, social analytics and business analytics will be used in complement with each other to provide the feedback system for decisions. Implicit in managing this complexity is a need to "structure" the unstructured social data to make it actionable feedback. 
 
Munish 
Posted @ Wednesday, July 28, 2010 8:52 PM by Munish Gandhi
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