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Twitter-Triggered Surveys

 

One of the many ways that people use Twitter is to share their good and bad experiences with specific brands. As an example, we analyzed 150 recent tweets about McDonald's and identified four complaints:

Tweeted complaints about McDonald's

While feedback is great, even negative feedback, a tweet-being limited to 140 characters-doesn't provide actionable context. No doubt a McDonald's executive reading these tweets would have some additional questions for customers about their in-store experience:

  • Where was the McDonald's that this happened to you?
  • When did this happen?
  • Did you alert a McDonald's employee at the restaurant to the situation?
  • Is there anything else you would like to tell us?

In fact, this is a great opportunity for a transactional survey. A McDonald's social media representative could tweet a reply to each person, along the lines of this invented example: "@VenessaLeal, so sorry to hear about your ice coffee. We'd love additional feedback, to serve you better next time. http://bit.ly/..."

This provides a way to transform unstructured feedback into structured feedback, which would be more manageable. Such a transactional survey would provide McDonald's the additional information they need to take action: they would be able to route the feedback to the appropriate store, where management could remind McDonald's employees of the best practices that would resolve the identified issue. McDonald's could incorporate this feedback flow into their other ongoing research initiatives (e.g., mystery shopping and customer satisfaction studies) to identify ongoing opportunities for improving training and service.

I wouldn't trust automation to identify which tweets are negative feedback, since sentiment analysis is too inaccurate. I think for now a human needs to read the tweets and respond; someone in your marketing and customer-service departments should be reading tweets that mention your brands already. Nor would I extrapolate from the results of such surveys; they are not representative of the wider customer base that you serve, the vast majority of whom are not on Twitter.

As of this writing (September 22, 2009), the @McDonalds Twitter account has issued just 1 tweet: "We'll be joining you very soon. Stay tuned."  It will be interesting to see in what ways McDonald's uses its Twitter presence, especially for collecting and managing feedback.

If you are aware of any organizations that use Twitter to initiate transactional surveys, please share in the comments section below. Thanks!

Comments

Nice thought, but I am not convinced it can be used as a basis for a transactional survey. Instead, I consider this similar to the feedback forms in hotels, where people generally only fill them in when they are upset or have had a very good experience - which is far from representative (and that is before we consider whether Twitter users themselves are representative). Linking people to a web survey can create standardisation which leads to some valuable KPIs (raw number of negative feedback responses about specific issues, ratio of poor to good feedback etc.). The processing can be automated to create some indicative KPIs which could identify potential issues for further, more robust exploration. This would work well and be very cost effective for organisations that already monitor Twitter - as there would be a minimal increase in labour costs.
Posted @ Tuesday, September 22, 2009 6:11 PM by Chris Lonergan
You are right that it cannot be used for quantitative research: it will not be representative of your transactions. It can shed some interesting qualitative insights and can give you a process for providing superior service. 
 
Where it differs from those hotel feedback forms is that people are externally selected and invited to provide further input. Do that randomly and you can have a representative sample of people who complain on Twitter. :-) 
 
I think its worth some experimentation to determine its value. As you point out, for organizations already monitoring social media, it adds little incremental labour. 
 
Thanks for commenting!
Posted @ Tuesday, September 22, 2009 9:24 PM by Jeffrey Henning
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