Unit of competency Outline

Date retreived
22/07/2026 11:05 AM AWST

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Apply service measures and demand forecasting to products and services planning

Apply service measures and demand forecasting to products and services planning

Unit of competency
National Code
ICTNPL5101A
State Code
D3361
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
15/06/2010
State Implementation and Classification
Approved Date
15/04/2014
Field of Education
080315 - Project Management
Original Release Date
15/04/2014
Nominal Hours
45
Description
This unit describes the performance outcomes, skills and knowledge required to analyse customer bases and market demands and use forecasting tools to predict customer demands for new products and services.Accurate forecasting helps service providers make key investment decisions relating to product development and introduction, advertising and pricing, well in advance of product launch. This helps to ensure that the company will make a profit on a new venture and that capital is invested wisely.No licensing, legislative, regulatory or certification requirements apply to this unit at the time of endorsement but users should confirm requirements with the relevant federal, state or territory authority.
Notes
Elements and Performance Criteria
1. Analyse customer base
  • 1.1. Establish the reasons for forecasting in network planning and factors that influence forecasting
  • 1.2. Collate data from appropriate organisations involved in planning initiatives for planning delivery of products and services
  • 1.3. Establish market segmentation to improve marketing effectiveness on new technology adoption
  • 1.4. Analyse the market segments of customers based on geography and demographics for a new service or product and predict the adoption of a new product
2. Evaluate current utilisation
  • 2.1. Evaluate current service usage of the network and determine current traffic load
  • 2.2. Evaluate current network occupancy and determine any spare capacity
3. Predict future customer base
  • 3.1. Evaluate the expected customer growth and segment mix in a defined geographical area and assess impact on network planning
  • 3.2. Use a forecasting model and predict the customer demand for new technology products and services
4. Use property market and development data to produce plans
  • 4.1. Develop strategic plans on infrastructure planning using planning authority data for development and redevelopments
  • 4.2. Produce a plan for future development projects using property market data
5. Predict future service requirements
  • 5.1. Create a customer service plan to maintain valuable customer relationships and strengthen business
  • 5.2. Measure customer service results using key factors that provide an indicator for customer service quality
  • 5.3. Use forecasting tools to predict future service demand and requirements for emerging technology services of Next Generation Networks (NGN)
6. Produce network forecast and documentation
  • 6.1. Produce geographically-based network growth forecasts utilising the change in customer base, changes to property market and future service predications
  • 6.2. Produce and present documentation
RANGE STATEMENT
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.
Reasons for forecasting may include:
evaluation of management decisions
planning and budgeting for equipment purchase
verification to confirm prediction.
Factors that influence forecasting may include:
demographics
economics:
global
macroeconomics:
exchange rates
imports
inflation
stimulus package
sectoral:
emerging technologies
growth rate
industry
technology:
application:
internet
internet protocol TV (IPTV)
local area networks (LAN)
voice over internet protocol (VoIP)
wide area networks (WAN)
subscriber access:
cellular
optical fibre
wireless
technology:
broadband
fibre to the premises (FTTP)
IP services
multiprotocol label switching (MPLS)
national broadband network (NBN)
world interoperability for microwave access (WiMAX).
Data may be:
changing customer use patterns
collected by:
directories
examining plans
interviews
maps
network management tools
reports
collected from:
customers:
actual
prospective
economic planners
internal organisational groups
local
marketing organisations
real estate agents
sales organisations
state and federal governments
statutory bodies
traffic management systems
customer access planning
demographic changes
economic forecasts
historical usage data
industry trends
influence of technology on traffic demand
land developments
local industry
market conditions
marketing programs
marketing requirements
population trends
possible environmental impacts
power
re-zoning
sales forecasts
shire planning
telecommunications history in the area
traffic patterns.
Planning initiatives may include:
capacity upgrade
equipment upgrade
new product line:
media centres
new services:
IP services
IPTV
new technology:
FTTP
NBN.
Market segmentation may depend on:
behaviour:
brand loyalty
product usage rate
readiness to buy stage
demographics
geography
psychographics:
attitude
ethics
lifestyle
personality
technological segmentation variables:
attitude about technology
early adopters
usage patterns.
Geography may refer to:
climate:
cold
hot
humid
snowy
size:
large city
small town
density of area:
rural
urban
region of world or country:
Asia Pacific or Europe
coastal or inland.
Demographics may refer to:
age
employment
habits
income
occupation
people's lifestyles
population movements
socioeconomic status
spending.
Forecasting model may include:
analogous method:
qualitative (symbolical) model
quantitative (numeric) model
judgemental method:
Delphi method
surveys
technology forecasting
prediction market
probabilistic forecasting
simulation
time series forecast:
exponential smoothing
extrapolation
growth curve
linear prediction
moving average
trend estimation.
Planning authority may refer to:
local:
developers
entertainment venues
parks
roads
state:
educational institutions
hospitals
housing estates
industrial areas
new shopping centres
new suburbs.
Key factors may include:
customer attrition ratio
customer complaints
customer survey results
sales growth.
Forecasting tools may include:
specialist forecasting software
spreadsheets
statistical tools:
graphical estimation
moving averages:
simple
weighted
Poisson distribution
probability
queuing theory
regression analysis
trend analysis.
Services of Next Generation Networks (NGN) may include:
interactive TV
IP based home networks
IPTV
video on demand (VoD)
virtual networks
VoIP services
web applications.
Documentation may include:
customer demand figures
customer service plan
network growth forecasts
recommendations
strategic plans.
EVIDENCE GUIDE
The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.
Overview of assessment

Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the ability to:
interpret growth patterns and develop options which satisfy customer and enterprise financial goals
predict future customer base and service requirements
produce network growth forecasts utilising changes to customer base, property market and future service predictions.
Context of and specific resources for assessment
Assessment must ensure:
data from organisations involved in planning initiatives
range of software currently used in industry
relevant regulations, specifications that impact on service measures and forecasting activities.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
direct observation of the candidate undertaking a practical forecasting exercise
review of network growth forecast completed by the candidate for forecasting growth of the telecommunications network
oral or written questioning to assess knowledge of planning the development of the telecommunications network.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, for example:
ICTNPL5071A Develop planning strategies for core network design
ICTNPL5096A Develop planning strategies for access network design
ICTNPL5154A Develop planning strategies for building environment design.

Aboriginal people and other people from a non-English speaking background may have second language issues.

Access must be provided to appropriate learning and assessment support when required.

Assessment processes and techniques must be culturally appropriate, and appropriate to the oral communication skill level, and language and literacy capacity of the candidate and the work being performed.

In all cases where practical assessment is used it will be combined with targeted questioning to assess required knowledge. Questioning techniques should not require language, literacy and numeracy skills beyond those required in this unit of competency.

Where applicable, physical resources should include equipment modified for people with special needs.
Replaced By
State Code National Code Title Type
AWE34 ICTNPL503 Apply service measures and demand forecasting to products and services planning Unit of competency