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CALL CENTRE MANAGEMENT BASICS
The Planning and Management Process of Call Centers Ice-breaker: Introduction to the course – call center is a unique environment; The session is about pulling together a lot of different concepts and putting them into perspective so we can all understand the part we play in its success.
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Introduction 6-hour course - 3 hrs – 2 sessions PLEASE TURN OFF YOUR
MOBILE PHONE NOW
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Course Outline Key Topics: Call Center Management
The Planning and Management Process of Call Centers How incoming call centers behave Service Level Service Level and Quality Forecasting Scheduling Immutable Laws of Call Center Management Real time Management Course Outline Course primarily focuses on Inbound call centers.
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Call Center management
What is Call Center Management? Is defined as the art of having the right number of skilled people and supporting resources in place at the right times to handle an accurately forecasted workload, at service level and with quality. Call Center management Have the right number of people in the right place at the right time Do the right things Changing of names: Call center vs Contact center What are the types of callcenters? Inbound, outbound, blended Could also be classified according to FUNCTION: customer care, telesales, tech support, dispatch, operator services, collections, etc Ownership: Inhouse, outsourced, BOT Financial Structure: Profit center, cost center
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QUIZ Quiz Questions: Call arrival can be predicted exactly within the half hour for every day with 12 months of historical data (false) Telephone customers behave just the same as customers in a bank branch or supermarket checkout (false) 80%:20secs is not the best choice for a service level (true) It is always cheaper for the client to have an 80:60 SL vs and 80:20 SL (False) Focusing on quality contradicts achievement of SL (False) One person in a large high volume callcenter will make a significant difference to service level (true) Erlang c tables provide you with the right number of people to employ (false) Only Data directly from CMS(ACD system) should be used for forecasting (False) The more all agents stay in “available”, the less calls they will get (true). Larger call skill groups are inherently more efficient than small groups (true) High occupancy is an indication that service level will also be high (false) Agents control occupancy (false) AHT usually remains the same throughout the day for an established center (false) It takes as many staff to increase service level from 75% to 80% as it does from 90%-95% (false) IVR reduces AHT (false) Queue messages will reduce abandonment (False) The call workload will be at its highest on the day of the week with the highest call volume (false) If agent productivity is low, this means that occupancy will also be low (false)
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Call Center management
What makes call centers unique ? Externally Generated Work Random Call Arrival Invisible World Service Benchmarking Main Customer Touchpoint Call Center management No actual control over the amount of work to be done in an hour or day. A call center is at the mercy of workload generated by others.
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What makes call centers unique?
Random Call Arrival Call Arrival Exercise What makes call centers unique? Prepare balls and bucket Linear Is linear call arrival common in our callcenter? No Did any call have to wait in queue ? No, all calls were answered immediately What did you notice about the agent’s occupancy? How hard were they working? No avail time so almost - 100% 2.Random Is this how calls arrive at Telus? Yes Did any call have to wait in queue? Yes, some. What did you notice about the agents occupancy? How hard were they working? Vary according to The balls rolled. Quiz question: Can agents control occupancy? False. It is determined by factors outside their own sphere of control Occupancy defined as = time on calls/ (time on avail + time on calls) x 100 Affected by: staffing; volume; aht variations Ideal levels: 80-85% agent productivity = Time on avail + time on calls/staffed time x 100 (or Staffed-AUX/Staffed) Affected by over-breaks; other auxes (coaching; meeting etc)
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GRAPH What makes call centers unique?
The Effect of Random Call Arrival: Calls Queue! GRAPH What makes call centers unique? Peaks and valleys throughout the 30 minute interval Pattern a: Monday Pattern b: Tuesday less calls – same general pattern Quiz Question: Call arrival can be predicted exactly within the half hour for every day with 12months of historical data Whilst it is possible to have fairly accurate forecasts with historical data, it is almost impossible to consistently be exact due to the random arrival of calls. This causes the ratio of staff hours to workload hours to always be higher. There is often an imbalance of work and staff to handle that work. – Critical things: forecasting, scheduling, real time management
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What makes call centers unique?
Random Call Arrival Occupancy VS Agent Productivity Occupancy = time on calls x 100 time on calls + time on avail Agent Productivity = time on calls + time on avail x 100 staffed time or staffed time – AUXes x 100 What makes call centers unique? Quiz question: Can agents control occupancy? False. It is determined by factors outside their own sphere of control Occupancy defined as = time on calls/ (time on avail + time on calls) x 100 Affected by: staffing; volume; aht variations Ideal levels: 80-85% agent productivity = Time on avail + time on calls/staffed time x 100 (or Staffed-AUX/Staffed) Affected by over-breaks; other auxes (coaching; meeting etc) compute AP: Coaching: 30 mins/week Meeting: 45mins/week breaks: 30mins/day huddles: 15mins/day Others: 12mins/day If occupancy was at 85% and AP was at 85%, how many hours did the agent spend time on the phones talking to a customer?
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Call Center management
What makes call centers unique ? Externally Generated Work Random Call Arrival Invisible World Call Center management You cannot compare how good a callcenter is being run just by looking at the call center itself.
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- Bank, Ticket Office, etc.
Invisible World Visible Queue - Bank, Ticket Office, etc. What makes call centers unique? Invisible Queue - Majority of Call Centers (not all) Note: just click on slide once first so as not to show faces Use flipchart – Quiz question: Do customers waiting in a telephone queue behave the same manner as customers waiting in a bank or supermarket checkout? No Brainstorming: Tel queue cannot see how long the queue is the progress they are making it it Tel customer may hang up just before their call is answered because they don’t know they have Reached the top of the queue while it would very rare for a person in a visible queue to Walk away just before being served 3. A person going to the bank may not even join the queue if they see it too long 4. A person in the visible queue becomes happier as they progress in the queue. A person in an invisible queue expects to be assisted soon and as they wait become more frustrated. IVR technology – Knowledge of IVR (?) Can advise caller where they are in the queue/ estimated wait time. Is this good or bad? Advantage: Caller is advised up front how many people are in the queue or how long they are to wait and can therefore make an informed decision about whether to wait or abandon Disadvantage: The customer is not told how quickly the queue is progressing. They may be 100th in Queue which may free up in a short time due to agents logging in 2. The customer may expect an estimated wait time as told but the next message states a longer wait time (how is this possible?) Based on historical data and is not always reflective Of what is happening at present time Some call centers have the technology to make the invisible queue visible to the caller
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What makes call centers unique?
Invisible World: 7 Factors of Caller Tolerance Degree of Motivation Availability of Substitutes Competition’s Service Level Level of Expectations Time Available Who’s Paying for the Call Human Behavior What makes call centers unique? Question: Why will some customer’s hang up after only a few seconds in a queue while others will wait forever? 1. Is there always a correlation between SL and abandonment? Not always the case. Special promo (Cebu pacific low rates promo) – higher call volume than normal, low service levels but callers are prepared to wait longer. 2. Online or go visit branch etc 3. Pizza Hut may answer sooner (Domino’s 30 minute or free) 4. Platinum or Gold card holder for Citibank 5. Lunch break, morning, work break vs after office hours and weekends; Mom’s vs singles 6. Toll free or with payment 7……just cant explain 15 minute break!!!!
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Call Center management
What makes call centers unique ? Externally Generated Work Random Call Arrival Invisible World Service Benchmarking Main Customer Touchpoint Call Center management 4. Service Benchmarking: the call center’s main performance measure is customer satisfaction. So they have to benchmark their performance against the best of class call centers and not necessarily just those within the same type of industry in the account being serviced 5. Important role it plays in any organization. Callcenter is the most common way for customers to interact with business and for some it is the only way. It can cause lost or retained customers. Customers make the assessment of the company overall by how they are served by the Callcenter.
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The Planning and Management Process of Call Centers
1. Choose a Service Level Objective The Planning and Management Process of Call Centers 4. Calculate Base Staff 9. Repeat for a Higher and Lower Level of Service 2. Collect Data 5. Calculate Trunk and related system resources 7. Organize Schedules (Schedule Inflex) 3. Forecast Call Load 6. Calculate for Shrinkage The Planning and Management Process of Call Centers 8. Calculate Costs Look at the cycle of planning and management process of an inbound callcenter… There are a number of factors that need to be considered when Convergys and our clients are negotiating a contract, price being one of the most important. To determine the Price, we first need to calculate the cost for Convergys to operate the programme. 1st – Choose a service level objective 2. Collect data 3. Forecast call load 4. Calculate base staff 5. Calculate Trunk load 6. Calculate budge factor (shrinkage) 7. Organise schedules 8. Calculate costs 9…*** Repeat the entire process for Higher or Lower Service levels Let us look at each process in turn…
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SERVICE LEVEL – THE CORE VALUE
What is Service Level ? What is the difference between SL and Response Time What is Service Level? (anyone?) ** the percentage of calls answered within an agreed time frame (Ex. 80% in 20 secs) SL applies to work that needs to be answered immediately Response Time is applied to work that does not need to be answered as it arrives ( , case work) Ex. 100% of in 24 hours
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SERVICE LEVEL – 2 Formulas
1. SL = NCH in X secs + NCA in X secs X 100 NCO 2. SL = NCH in X secs X 100 There are only 2 things that could happen to a call – it is either answered or abandoned Compute for SL (80:20) Calls answered within 20 secs = 6 Calls answered after 20 secs = 2 Calls abandoned within 20 secs = 1 Calls abandoned after 20 secs =1 Convergys computation: Formula 2 6+1/10= 70% 6/10 = 60%
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Considerations for the Optimum SL:
The Impact on Abandonment (Caller Tolerance) The Impact on Agent Burnout The Impact on Costs The Value of the Call 5. The Desire to Differentiate SERVICE LEVEL Generally, the lower the service level, the higher the abandonment rate (although not always the case). 2. We will learn later (tom), that at a given call load, a higher service level results in a lower occupancy. If service level is low, the agents will usually be working at high occupancy rates and therefore taking call after call. 3. Costs: Labor costs: More agents are required to achieve a higher SL than a lower SL. Therefore, labor costs would be more expensive for a high SL programme Trunk costs: Phone costs (VOIP – 70 calls per E1 line). Trunking costs are incurred when a customer is in queue or talking to an agent. The longer a customer waits in queue, the more expensive the phone costs wil be. 4. Value of the Call – Generally a sales call will be more valuable to a client than a technical support call as it represents the potential revenue to the customer. Emergency calls have a higher SL. 5. Looks at the factors of caller tolerance that their business is likely to support to determine the likelihood of customers waiting on line 6. A company may want to blow their competition out of the water by offering a Very high SL compared to competitors.
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Service Level And Quality SERVICE LEVEL and QUALITY
Quality is the consistent delivery of service that meets or exceeds customer’s expectations. Does Quality and the achievement of Service Level contradict one another? Do we really sacrifice quality for AHT? SERVICE LEVEL and QUALITY Does Quality and the achievement of SL contradict one another? Do we really sacrifice quality for AHT? No, in fact they should work hand in hand. If a call is handled with quality, the proper call handling techniques should have been utilized thereby allowing the call to be completed within the required time frame.
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When Quality is Lacking: SERVICE LEVEL and QUALITY
Escalation of calls and complaints to higher management Repeated calls from customers Callbacks to customers for missing or unclear information Unnecessary service calls Diversion of agents to activities that should be unnecessary Agents taking the blame for errors made by others SERVICE LEVEL and QUALITY Effects to service level: Increase handle time – escalations/irate Repeated calls from customers – volume increases Callback to customers Unsupported or when irate already, you have to do more to appease Lack of knowledge, long holds 5. Start the call irate, AHT lengthened to appease client In program AHT reduction (benchmarking or timestudies) – There is only so much an agent can do to reduce overall aht. You have check the process Or steps a CSR needs to accomplish to carry out each request… call speeds plateau at a certain point. The process is where there is most leverage (i.e Scripts, software, tools). Quality is built around customers’ expectations. Quality and Service Level work together by reducing rework and waste and facilitating and positive culture. The process is where the leverage is. Use Quality tools to find and fix root causes. Our operators are the most important source of our success.
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The Planning and Management Process of Call Centers
1. Choose a Service Level Objective The Planning and Management Process of Call Centers 4. Calculate Base Staff 9. Repeat for a Higher and Lower Level of Service 2. Collect Data 5. Calculate Trunk and related system resources 7. Organize Schedules (Schedule Inflex) 3. Forecast Call Load 6. Calculate for Shrinkage The Planning and Management Process of Call Centers 8. Calculate Costs COLLECTING DATA AND FORECASTING CALL LOAD
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Data Gathering Sources
Forecasting Data Gathering Sources FORECASTING Historical ACD data (including call volume, handle times, arrival patterns) Business Drivers - Internal: * Marketing activities * Mergers and Acquisitions * Network capacity/deployment * Product launch/ product defects - External: * Weather disasters/ flooding/fire * Market fluctuations * World and local news events * Industry rumors ACD data needs to be checked on for volume, handle time and arrival patterns. Volume: Need to see if trunks are enough to handle all traffic. Not enough trunks, inaccurate forecasting (in case trunks are increased or improved) Data Aberrations
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FORECASTING Data Gathering: CALL WORK LOAD
Definition of Call Work Load = Call volume x AHT VS Call volume only Difference with just looking at call volume – it looks at the total amount of work that needs to be completed rather than how many call need to be answered (i.e 40 hours of work) Importance of getting it right: “Everything to do with resourcing the call center starts with determining what the calling load will be. In the ultimate sense, the call load determines how many agents are hired. The number of agents on the busiest shift determines how much space is required; how many lines are necessary, how many chairs and desks are puchased;etc. If you get this part wrong, no matter how good your management and no matter how efficient your agents are, you will be lost in terms of meeting your SL objective.” It is important to use Call Load rather than call volume when calculating how many staff are required for a programme.
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Call Volume v’s Call Load
Call Volume v’s Call Work Load Call Volume v’s Call Load Would you need more staff working on Monday or Tuesday based on the example above? AHT = 200 seconds 300 seconds CALL LOAD Compute using definition for Call load.. 1000 X 200 = 200,000 seconds (or man hours) 700 x 30 = 210,000 seconds (or man hours) – Tuesday Because AHT is higher on a Tuesday than a Monday
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ACD Data: Check for volume, AHT, patterns
Volume: Trunk capacity Data Aberrations Handle Time: Time of day Day of week Events Arrival Patterns: Holiday factors Monday effect FORECASTING FORECASTING ACD data needs to be checked on for volume, handle time and arrival patterns. Volume: Need to see if trunks are enough to handle all traffic. Not enough trunks, inaccurate forecasting (in case trunks are increased or improved) Data Aberrations
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Interval Call Arrival Patterns
Why does the AHT or call volume vary according to the time of day? Note: Sudden dip on Tuesday, 10:30 am. Why? For arrival patterns and for forecasting, it is important to single out the unusual for better analysis.
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Day of Week Factors Why does aht vary from day to day?
Note: Monday – Wednesday of the week of May 6 shows an unusual pattern: Why do you think so?
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Average Handle Time (AHT):
AHT in seconds Why does the AHT vary according to the time of week? Time of Day
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Monthly Volumes Why does the call volume or AHT according to the month of the year?
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FORECASTING How to Break Down a Forecast:
720,000 Current year’s calls (1) X To add 12% (2) 806,400 Estimated calls in forecast year (3) X January proportion (4) 57,254 January calls (5) / Operations days in January 1,847 Average calls per day (6) X Monday Index Factor (7) 2,713 Mondays calls (8) X :00 to 10:30 proportion (9) 149 Forecasted calls 10:00 to 10:30 To determine operations days, count the days the call center will be open Example – January S M T W T F S FORECASTING To calculate the day of the week index factor, divide day of week proportion by average day of week proportion. Avg Index Example: Prop Prop Factor Monday / Tuesday / Wednesday / Thursday / Friday / Saturday / Sunday / Based on historical data from January to December 7% for january….. Based on what??? Increase in customers (growth rate); marketing activities; environment etc Estimated number of calls to be received for following year Monthly proportion – based on historical data (see slide 26) – several years can be averaged Get the % of total year’s calls received in a particular month 5. January’s forecasted calls 6. Get average calls per day by diving the number with Operational days in January (some programs are not open 7 days a week;take out also holidays that the center is closed) 7. To calculate the day of week Index factor, divide the day of week proportion by the average day of week proportion ---- Or divide one day over number of operating days in the wk 8. Mondays calls ( see that it is higher than the average calls per day) Other index factors used are: holiday factors; promotional factors; etc 9. Proportion for each half hour interval Quiz Question: Call arrival can be predicted exactly within the half hour for every day with 12months of historical data Whilst it is possible to have fairly accurate forecasts with historical data, it is almost impossible to consistently be exact due to the random arrival of calls.
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FORECASTING Forecasting Meetings Assign responsibilities
Assemble the right players Assign responsibilities Establish recurring meetings Assess progress Adjust the process FORECASTING ** To ensure that we are as fully informed as possible, the scheduling and forecasting team of TELUS facilitates a monthly forecasting meeting with each of our clients. Ten Common Forecasting Problems (that should be avoided): No systematic process Events that should be exceptions become part of the forecast Good ties with other departments or clients do not exist Planning is done around goals and not reality Bad judgement of temporary vs permanent change No one is accountable for the forecast END OF FIRST DAY!!!!
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The Planning and Management Process of Call Centers
1. Choose a Service Level Objective The Planning and Management Process of Call Centers 4. Calculate Base Staff 9. Repeat for a Higher and Lower Level of Service 2. Collect Data 5. Calculate Trunk and related system resources 7. Organize Schedules (Schedule Inflex) 3. Forecast Call Load 6. Calculate for Shrinkage The Planning and Management Process of Call Centers 8. Calculate Costs
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Staff Required Calculate Base Staff
Base Staff – the number of agents required to be on the phones for a given period to handle a particular call load. Staff Required How is it done? Erlang C Erlang C is a formula developed to take into consideration the random call arrival. It calculates the minimum number of agents required to achieve service level for a given period of time. It assumes that all agents will be “in their seats” for the entire period. It assumes that no caller abandons or receives a busy signal, so it will sometimes have the tendency to overestimate the number of staff requirede. How many staff able to take calls in a given interval and NOT how many people to employ
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Erlang C Erlang C Module
ERLANG C FOR INCOMING CALL CENTERS BY ICMI, INC. TALK TIME IN SECONDS = 180 AFTER CALL WORK IN SECONDS = 30 CALLS PER HALF HOUR = 250 SERVICE LEVEL OBJECTIVE IN SECONDS = 20 OPERATORS ASA SL% OCC% TKLD 30 208.7 23.5% 97% 54.0 31 74.7 45.2% 94% 35.4 32 37.6 61.3% 91% 30.2 33 21.3 73.0% 88% 28.0 34 12.7 81.5% 86% 26.8 35 7.8 87.5% 83% 26.1 36 4.9 91.7% 81% 25.7 37 3.1 94.6% 79% 25.4 38 1.9 96.5% 77% 25.3 39 1.2 97.8% 75% 25.2 40 0.7 98.6% 73% 25.1 41 0.5 99.2% 71% Operators: - Number of operators required to be on the phones ASA: Average speed of Answer in Seconds SL%: Service Level Percentage of calls that need to be answered in the number of seconds you specify. OCC%: Percent agent occupancy. The percentage of time agents will spend handling calls, including talk time and after call work. TKLD (Trunk Load): The hours (erlangs) of trunk traffic, which is the product of: (talk time + ASA) X number of calls in an hour.
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Erlang C Delay Module ERLANG C FOR INCOMING CALL CENTERS BY ICMI, INC.
TALK TIME IN SECONDS = 180 AFTER CALL WORK IN SECONDS = 30 CALLS PER HALF HOUR = 250 SERVICE LEVEL OBJECTIVE IN SECONDS = 20 |==================== Number of callers waiting longer than X seconds ======================>| OP: SL% 5 10 15 20 30 40 50 60 90 120 180 240 ===== 24 203 119 195 191 184 177 170 163 145 129 101 80 31 45 156 149 143 137 126 115 105 97 74 57 34 32 61 118 111 104 85 65 56 38 25 11 33 73 89 81 67 47 39 19 4 1 82 58 52 46 37 29 23 18 9 35 88 41 36 14 2 92 21 8 6 95 16 3 13
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The Planning and Management Process of Call Centers
1. Choose a Service Level Objective The Planning and Management Process of Call Centers 4. Calculate Base Staff 9. Repeat for a Higher and Lower Level of Service 2. Collect Data 5. Calculate Trunk and related system resources 7. Organize Schedules (Schedule Inflex) 3. Forecast Call Load 6. Calculate for Shrinkage 1. Choose a Service Level Objective 9. Repeat for a Higher and Lower Level of Service 2. Calculate Base Staff The Planning and Management Process of Call Centers 8. Calculate Costs 8. Calculate Costs 3. Forecast Call Load 4. Calculate Base Staff 5. Calculate Trunk (and Related System Resources)
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Shrinkage Calculating Shrinkage VACATION LEAVES 15 days 5.77%
SICK LEAVES 6 days 2.30% BREAKS Two 15-minute breaks per day 6.25% COACHING 0.5 hour per week 1.25% TRAININGS/MEETING 1 hour per week 2.50% NON-SCHEDULED BREAKS 3 minutes per available hour 0.08% TOTAL 18.15% How much total shrinkage if the breaks are 45mins per day, non-scheduled breaks for 10 mins/day. Will shrinkage vary from day to day, time of day? So how will call center schedulers cope with this? Shrinkage VS Agent Productivity Assumptions: 52 weeks a year; 260 days; 2080 hours; 124,800 minutes. Based on 8-hour days.
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Shrinkage Calculating Schedule Requirement
Schedule Requirement = Base staff Requirement 1 – Shrinkage Factor Common math mistake – use shrinkage factor as a multiplier factor to inflate the bodies in chairs number
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Schedule Inflex Organize Schedules
Schedules are fundamentally inefficient. The more flexible your workforce is, the more efficient your schedule can be. Factors in managing schedules. Shrinkage Coverage Length of shifts Days off Break Definitions Start and stop times Other work rules Schedule Inflex Full coverage approach – every single half-hour of the day is covered (up to peaks).. Most callcenters do not use the full coverage approach. Balanced approach – key is to keep the amount of the understaffing and overstaffing minimized each half hour. Over/ Under Scheduling
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Schedule Inflex Match Shifts with the Demand Curve –
Balancing Sufficiency and Efficiency Schedule Inflex Expanded schedules – CWW Full time and part-time mix
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Schedule Inflex Envelope Strategy
Outbound; Quality Improvement; ; Special projects
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Immutable Laws of Call Center Mgt
When Service Level goes up, Occupancy goes down (at a given call load) 2. With more staff, ASA goes down With more staff, trunkload goes down Law of diminishing returns Powerful Pooling Principle Larger answering groups have higher occupancy at a given Service Level Immutable Laws
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Labor v’s Trunk Costs ERLANG C FOR INCOMING CALL CENTERS BY ICMI, INC.
TALK TIME IN SECONDS = 180 AFTER CALL WORK IN SECONDS = 30 CALLS PER HALF HOUR = 250 SERVICE LEVEL OBJECTIVE IN SECONDS = 20 A: Cost per hour for OP: $15.00 B: Cost per hour “800” service $ 6.00
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Immutable Laws The Dynamics of Size Calls per hour Handle Time
Call Load (in hours) Number of Agents Service Level in 20 secs Agent Occupancy 200 180secs 10 hours 11 39% 90% 12 64% 83% 13 80% 77% 800 40 hours 45 89% 46 86% 87% 47 85% 1600 80 hours 87 92% 88 88% 91% 89 Immutable Laws Economies of scale Powerful Pooling Principle: Small group requires 13 agents to meet the service goal. Medium sized group receives four times the amount of work (200 x4) YET 4 x 13 =52 is not needed. The service goal can be met with 45 staff instead of 52 staff. Large group receives 2x calls of medium (8 x calls of small) YET 2 x 45 = 90 (only 87 is needed) OR 13 x 8 = 104 (104-87=17 less staff) - This phenomenon is referred to as the Powerful pooling principle. Related to 6th Immutable Law (Large answering groups have higher occupancy at a given Service level) Why? Larger groups simply have opportunity to handle more calls during the period of time they’re working. With a larger volume of calls, there is greater likelihood that when an agent is finished with one call, there is another one arriving for him to handle. There is less “down time” waiting for a call to come in and the larger volume of calls represents a smoother calling pattern. ASA also becomes less for large groups because small groups have larger net effect of waiting and fast ones… more erratic visually. Consolidation: multi-skill groups (consider value of cross training); or (intelligent) virtual call routing arrangement
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Immutable Laws The Dynamics of Size Service Level % 90% Answered in:
Answered in: 30 secs Staffing Req Volume AHT (secs) ASA (secs) Occupancy 119 575 340 7.8 91% 65 300 8.2 87% 45 200 8.6 84% 18 70 11.1 73% 8 25 13.4 59% Immutable Laws ASA also becomes less for large groups because small groups have larger net effect of waiting and fast ones… more erratic visually. As the volume offered and staffing required for each group gets smaller, the resulting average speed of answer (ASA) gets larger even though the service level remains constant. In each group, only 10 percent of callers wait longer than 30 seconds for their call to be answered. The ASA variance between the groups is the result of the amount of time the calls not answered within 30 seconds actually have to wait for an agent to become available. This variance in wait time is generated by the law of large numbers — larger answer groups will have agents available more frequently, thus reducing the hold time when the 30-second objective has been surpassed. Put another way, when comparing groups with the same service level, calls that don’t get answered within the service level objective will generally wait longer in smaller agent groups than in larger ones.
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Real Time Real Time Management
is about ensuring that all agents are doing “what they are supposed to be doing” in order to: - give us the best chance to meet the service level objectives (Power of One principle) - maintain phone occupancy at acceptable levels to prevent agent burn-out - lost hours on a $ perspective REAL TIME MANAGEMENT : is about ensuring that all agents are doing “what they are supposed to be doing” thereby giving us the best chance of meeting the service level objectives Exercise: Table or Static Chair Lift (Emphasize the benefits of sharing the load amongst the whole team). One by one, lifters become less. Less to share the load with. Quiz Question: The more all agents stay on avail, the less calls they will get. Domino effect of remaining on ACW or AUX. Power of One principle: looking at the Erlang C table, we can see that one person in a large high volume call center will make a significant difference to service level (quiz question) Billed to Paid = Billed hours (to client) Paid hours (to agent) Type of programs: hourly billable (includes or exclude auxes? – if exclude, time on avail is paid) per minute billable (AHT only – opportunity lost even if meeting SL because at some intervals, you can make up for lost calls on low SL intervals – sched inflex
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- QUIZ - Quiz Larger call skills groups are inherently more efficient than small groups – T High occupancy is an indication that SL will also be high – F Agents control occupancy – F AHT usually remains the same throughout the day for an established desk – F It takes as many staff to increase SL from 75% - 80% as it does from 90-95% - F IVR reduces AHT – F Queue msgs will reduce abandonment – F The call load will be at its highest on the day of the week with the highest call volume – F Call arrival can be predicted exactly within the half hour for everyday with 12 months of historical data – F 10. Telephone customers behanve just the same as customers in a bank branch or supermarket Checkout – F 11. 80:20 is the best choice for a SL - F 12. It is always cheaper for the client to have an 80:60 SL vs an 80:20 SL – F 13. Quality call handling contradicts the achievement of SL – F 14. Individual agent effort makes the biggest difference to AHT improvement – F 15. One person in a large high volume call center will make a significant difference to SL – T 16. Erlang C tables provide you with the right number of people to employ
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