Skip to main content
Log in

A Data-Driven Methodology for Evaluating and Optimizing Call Center IVRs

  • Published:
International Journal of Speech Technology Aims and scope Submit manuscript

Abstract

Usability of many call center IVRs (Interactive Voice Response systems) is dismal. Callers dislike touch-tone IVRs and seek agent assistance at the first opportunity. However, because of high agent costs, call center managers continue to seek automation with IVRs. The challenge for call centers is providing user-friendly, yet cost-efficient, customer service. This article describes a comprehensive methodology for usability re-engineering of telephone voice user interfaces based on detailed call center assessment and call flow redesign. At the core of our methodology is a data-driven IVR assessment, in which we analyze end-to-end recordings of thousands of calls to evaluate IVR cost effectiveness and usability. Because agent time is the major cost driver in call center operations, we quantify cost-effectiveness in terms of agent time saved by automation in the IVR. We identify usability problems by carefully inspecting user-path diagrams, a visual representation of the sequence of events of thousands of calls as they flow through the IVR. Such an IVR assessment leads directly into call-flow redesign. Assessment insights lead to specific suggestions on how to improve a call-flow design. In addition, the assessment enables us to estimate the cost savings of a new design, thus providing the necessary business justification. We illustrate our IVR usability and re-engineering methodology with examples from large commercial call centers, demonstrating how the staged process maximizes the payback for the call center while minimizing risk.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Balentine, B. and Morgan, D.P. (1999). Howto Build a Speech Recognition Application. San Ramon, CA: Enterprise Integration Group.

    Google Scholar 

  • Bennacef, S., Devillers, L., Rosset, S., and Lamel, L. (1996). Dialog in the RAILTEL telephone-based system. International Conference on Spoken Language Systems (ICSLP). Philadelphia, PA: IEEE, Vol. 1, pp. 550–553.

    Google Scholar 

  • Delogu, C., Di Carlo, A., Rotundi, P., and Satori, D. (1998). A comparison between DTMF and ASR IVR services through objective and subjective evaluation. Interactive Voice Technology for Telecommunications Applications (IVTTA). Italy: IEEE, pp. 145–150.

    Google Scholar 

  • Edwards, K., Quinn, K., Dalziel, P.B., and Jack, M.A. (1997). Evaluating commercial speech recognition and DTMF technology for automated telephone banking services. IEEE Colloquium on Advances in Interactive Voice Technologies for Telecommunication Services, pp. 1–6.

  • Fay, D. (1994). User acceptance of automatic speech recognition in telephone services. International Conference on Spoken Language Systems (ICSLP). Yokohama, Japan: I EEE, Vol. 3, pp. 1303–1306.

    Google Scholar 

  • Gibbon, D., Mertens, I., and Moore, R. (Eds.). (2000). Handbook of Multimodal and Spoken Dialogue Systems: Resources, Terminology, and Product Evaluation. Dordrecht, Netherlands: Kluwer Academic Publishers, pp. 102–203.

    Google Scholar 

  • Gorin, A., Parker, B., Sachs, R., and Wilpon, J. (1996). How may I help you? Interactive Voice Technology for Telecommunications Applications (IVTTA). Italy: IEEE, pp. 57–60.

    Google Scholar 

  • Halstead-Nussloch, R. (1989). The design of phone-based interfaces for consumers. International Conference for Human Factors in Computing Systems (CHI). New York: ACM, Vol. 1, pp. 347–352.

    Google Scholar 

  • Lee, C.H., Carpenter, B., Chou, W., Chu-Carroll, J., Reichl, W., Saad, A., and Zhou, Q. (2000). On natural language call routing. Speech Communication, 31:309–320.

    Google Scholar 

  • Nielsen, J. (1993). Usability Engineering. Morristown, NJ: AP Professional.

    Google Scholar 

  • Nuance. (2000). 2000 Speech User Scorecard. Menlo Park, CA: Nuance Communications.

    Google Scholar 

  • Parnas, D.L. (1969). On the use of transition diagrams in the design of a user interface of interactive computer systems. Proceedings of ACM Conference. pp. 379–385.

  • Resnick, P. and Virzi, R.A. (1995). Relief from the audio interface blues: expanding the spectrum of menu, list, and form styles. Transactions on Computer-Human Interaction, 2:145–176.

    Google Scholar 

  • Roberts, T.L. and Engelbeck, G. (1989). The effects of device technology on the usability of advanced telephone functions. International Conference on Human Factors in Computing Systems (CHI). New York: ACM, Vol. 1, pp. 331–338.

    Google Scholar 

  • Suhm, B. and Peterson, P. (2001). Evaluating commercial touchtone and speech-enabled telephone voice user interfaces using a single measure. International Conference on Human Factors in Computing Systems (CHI). Seattle, WA: ACM, Vol. 2, pp. 129–130.

    Google Scholar 

  • Tatchell, G.R. (1996). Problems with the existing telephony customer interface: The pending eclipse of touch-tone and dial-tone. International Conference on Human Factors in Computing Systems (CHI). Vancouver, BC: ACM, Vol. 2, pp. 242–243.

    Google Scholar 

  • Walker, M.A., Litman, D., Kamm, C., and Abella, A. (1997). PARADISE: A framework for evaluating spoken dialogue agents. 35th Annual Meeting of the Association of Computational Linguistics. Madrid: Morgan Kaufmann, pp. 271–280.

    Google Scholar 

  • Yankelovich, N., Levow, G.-A., and Marx, M. (1995). Designing SpeechActs: Issues in speech user interfaces. International Conference on Human Factors in Computing Systems (CHI). Denver, CO: ACM, Vol. 1, pp. 369–376.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Suhm, B., Peterson, P. A Data-Driven Methodology for Evaluating and Optimizing Call Center IVRs. International Journal of Speech Technology 5, 23–37 (2002). https://doi.org/10.1023/A:1013674413897

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1013674413897

Navigation