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Agent-assisted automation

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280:, etc. Turnover is high among agents engaged in this kind of work because the task is tedious and emotionally difficult. It is tedious because you spend the bulk of your day, not talking to qualified leads, but in getting wrong numbers and answering machines. As good and as ubiquitous as predictive dialing technology has become, it still makes a lot of mistakes because the phone number inputs are outdated. It is emotionally difficult work because, beyond the tedium, you spend a lot of time hearing the word "No!", getting hung-up on, and cussed at. The pre-recorded audio allows you to dispense with wrong numbers and answering machines while you move onto the next call. Agents can easily handle two or three overlapping calls, an immediate productivity hit. Additionally, agents using the technology don't seem to take the gruff treatment as personally. They report that it feels as if the customer is saying "no" to the software, not to them. Finally, contribution amounts and conversion rates can be improved by adding some intelligence into the scripts, for example by raising and lowering the initial contribution amount based on the wealth of the area you are calling into or using pre-recorded audio with different accents, Southern when calling in the South, for example. Another benefit of the technology is that it enables the work to be done by lower cost agents in offshore locations. 309:
Moreover, there are significant individual differences between agents in their intelligence, personality, motivations, etc. which all affect performance. Despite the large amount of money call centers have spent over decades trying to reduce between-agent variation, the problem is still so prevalent that one large study of customer interactions with call centers found that a customer's experience was completely a function of the quality of the agent who happened to answer the phone.
83: 25: 244:. ID theft and credit card fraud are huge threats for call centers and their customers and few good solutions exist, but new agent-assisted automation solutions are producing promising results. The technology allows the agents to remain on the phone while the customers use their phone key pads to enter the information. The tones are masked and the information passes directly into the 300:
Second, in theory, the more steps that can be automated and the more logic that can be built into the call flow (e.g., if the customer buys items 2 and 9, then disclosures a, c, and f are read by the pre-recorded audio), then companies may be able to reduce the amount of training that is required of
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technology that automates elements of what the call center agent 1) does with his/her desktop tools and/or 2) says to customers during the call using pre-recorded audio. It is a relatively new category of call center technology that shows promise in improving call center productivity and compliance.
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In some cases, the agent-assisted automation streamlines the process and allows calls to be handled more quickly. By eliminating cutting and pasting from one application to another, by auto-navigating applications, and by providing a single view of the customer, agent-assisted automation can reduce
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Phone surveys are ideal applications of this technology. Whether surveying market preferences or political views, the pre-recorded audio with an agent listening allows the questions to be asked in the same way every time, uninfluenced by the agents' fatigue levels, accents, or their own views.
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or as soundboard technology) is another form of agent-assisted automation. The purpose of using pre-recorded messages is to increase the probability (and in some cases error-proof the process so) that the right information is provided to customers at the right time. The required disclosures are
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is between-agent variation in behavior and results. Agents differ in the amount of training and coaching they receive, they differ in the amount of experience they have, their jobs are repetitious and tiring, and the process and procedures the agents are supposed to follow constantly change.
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the process and ensures that something that needs to be done or said happens every time. Properly implemented, the between-agent variation for whatever step of the process the automation is applied to may be able to be reduced to near zero. This is especially important in a
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has benefited manufacturing by reducing the mental and physical effort required of workers while simultaneously improving throughput, quality, and safety, agent-assisted automation is improving call center results while reducing the tiring aspects of the job for agents.
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in the case of credit card transactions. The automation essentially makes it impossible for call center agents and also call center personnel that might be monitoring the calls to steal the
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software, the right combination of disclosures can be played based on the combination of goods and services the customer purchased. The integration with the
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the agents while at the same time ensuring more consistency and accuracy. However, no published studies have reported this result yet.
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Therefore, the most significant benefit of agent-assisted automation may prove to be in how the automation error-proofs or
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software also ensures that the order cannot be submitted until the disclosures are played, essentially error-proofing (
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Fleming, J., Coffman, C., Harter, J. (July-August, 2005) Manage Your Human Sigma, Harvard Business Review, p.111
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that states a Knowledge editor's personal feelings or presents an original argument about a topic.
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pre-recorded to ensure accuracy and understandability. By integrating the recordings with the
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Another specialized application space of agent-assisted automation is in outbound
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is a specialized type of agent-assisted automation focused on reducing
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http://www.nationalcallcenters.org/images/stories/InQueue/vol3no12.pdf
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whose processes and procedures are closely regulated by the
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personal reflection, personal essay, or argumentative essay
190: 107:. Unsourced material may be challenged and removed. 297:call handle time and increase agent productivity. 453: 439:Patel, S. (2008) How to win a no-win situation. 200:Pre-recorded audio (sometimes referred to as 377: 401:. connectionsmagazine.com. Archived from 263: 167:Learn how and when to remove this message 65:Learn how and when to remove this message 358: 380:"Automated Outbound Sales Go High-Tech" 454: 396: 195: 105:adding citations to reliable sources 76: 18: 378:Schelmetic, Tracey (January 2014). 342:"Overseas credit card scam exposed" 258:personally identifiable information 256:, social security number, or other 228: 13: 359:Madrigal, Alexis (December 2013). 323:Fair Debt Collection Practices Act 191:Types of agent-assisted automation 14: 483: 415: 397:Carden, Francis (November 2009). 246:customer relationship management 211:customer relationship management 207:customer relationship management 81: 23: 92:needs additional citations for 462:Computer telephony integration 433: 424: 409: 390: 371: 352: 334: 304:But an even larger problem in 16:Type of call center technology 1: 328: 202:soundboard (computer program) 7: 283: 116:"Agent-assisted automation" 10: 488: 180:Agent-assisted automation 264:Outbound telemarketing 45:by rewriting it in an 101:improve this article 472:Workflow technology 219:consumer protection 254:credit card number 196:Pre-recorded audio 47:encyclopedic style 34:is written like a 348:. March 19, 2009. 319:collection agency 242:credit card fraud 177: 176: 169: 151: 75: 74: 67: 479: 447: 437: 431: 428: 422: 421: 420:. isixsigma.com. 413: 407: 406: 394: 388: 387: 375: 369: 368: 356: 350: 349: 338: 276:, solicitation, 234:Fraud prevention 229:Fraud prevention 172: 165: 161: 158: 152: 150: 109: 85: 77: 70: 63: 59: 56: 50: 27: 26: 19: 487: 486: 482: 481: 480: 478: 477: 476: 452: 451: 450: 438: 434: 429: 425: 416:Adsit, Dennis. 414: 410: 395: 391: 376: 372: 357: 353: 340: 339: 335: 331: 286: 266: 250:payment gateway 231: 198: 193: 173: 162: 156: 153: 110: 108: 98: 86: 71: 60: 54: 51: 43:help improve it 40: 28: 24: 17: 12: 11: 5: 485: 475: 474: 469: 464: 449: 448: 432: 423: 408: 405:on 2014-03-03. 389: 370: 351: 332: 330: 327: 285: 282: 265: 262: 230: 227: 197: 194: 192: 189: 175: 174: 89: 87: 80: 73: 72: 31: 29: 22: 15: 9: 6: 4: 3: 2: 484: 473: 470: 468: 465: 463: 460: 459: 457: 446: 442: 436: 427: 419: 412: 404: 400: 393: 385: 381: 374: 366: 362: 355: 347: 346:bbc.co.uk.com 343: 337: 333: 326: 324: 320: 315: 310: 307: 302: 298: 294: 291: 281: 279: 275: 271: 270:telemarketing 261: 259: 255: 251: 247: 243: 239: 235: 226: 222: 221:information. 220: 216: 212: 208: 203: 188: 185: 182:is a type of 181: 171: 168: 160: 157:November 2022 149: 146: 142: 139: 135: 132: 128: 125: 121: 118: –  117: 113: 112:Find sources: 106: 102: 96: 95: 90:This article 88: 84: 79: 78: 69: 66: 58: 55:November 2022 48: 44: 38: 37: 32:This article 30: 21: 20: 440: 435: 426: 411: 403:the original 392: 383: 373: 365:The Atlantic 364: 354: 345: 336: 311: 306:call centers 303: 299: 295: 287: 278:fund-raising 274:cold calling 267: 232: 223: 199: 179: 178: 163: 154: 144: 137: 130: 123: 111: 99:Please help 94:verification 91: 61: 52: 33: 184:call center 467:Automation 456:Categories 384:tmcnet.com 329:References 290:automation 248:system or 127:newspapers 314:poka-yoke 215:poka-yoke 441:In Queue 288:Just as 284:Benefits 238:ID theft 141:scholar 41:Please 143:  136:  129:  122:  114:  148:JSTOR 134:books 240:and 120:news 103:by 458:: 443:. 382:. 363:. 344:. 325:. 260:. 386:. 367:. 170:) 164:( 159:) 155:( 145:· 138:· 131:· 124:· 97:. 68:) 62:( 57:) 53:( 49:.

Index

personal reflection, personal essay, or argumentative essay
help improve it
encyclopedic style
Learn how and when to remove this message

verification
improve this article
adding citations to reliable sources
"Agent-assisted automation"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
call center
soundboard (computer program)
customer relationship management
customer relationship management
poka-yoke
consumer protection
Fraud prevention
ID theft
credit card fraud
customer relationship management
payment gateway
credit card number
personally identifiable information
telemarketing
cold calling

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