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Digital Product Strategy

Evidence of continuous iteration and defined product roadmap.
Clearly defined KPIs for digital product strategy.

Enterprise wide digital product strategy.
Enterprise strategy and vision for execution.

Clear digital product strategy outlined and communicated
All projects are aligned toward the overall digital strategy.

Siloed digital product strategies and execution.
No enterprise digital vision or strategy

Product Management

Overarching product direction and strategy.
Unique market opportunities based on current and new products.
Fast tract product delivery through acquisitions or other similar means.
Has clearly identified and delegated product management across the organization.
Create significant overarching value to the market.

Gained competitive advantage through smart product management
Identifying unique opportunities early
Smart prioritization to meet current market demands
Creating unique and timely innovations.

Demonstrates ability to create differentiation in the market.
Alignment in work item prioritization and digital product strategy.

Has a clearly defined roadmap for digital products.
Demonstrate alignment with work/tasks to product's digital strategy.

Technical Ownership

Technical accountability flows down from the executive suite all the way down.
Engineering structures are optimal for the right culture required for technical product delivery.
Demonstrates ability to make swift changes.

Demonstrates technical ownership from the executive suite to all the way down.
Architects and Technical product delivery is aligned towards business objectives and goals.

Utilization of cross cutting special technical expertise to be consistent in best practices, technology selection, standards applications and so on
Examples include SRE teams, security and compliance teams.

Own or shared team delivery of technical products and services in siloed.

Engineering Management

Complete alignment with Engineering management, organizational goals and objectives, participate in strategy conversation and fully autonomy to make decision.

Engineering management is aligned with digital business strategy and fully understands priorities.
Engineering management practices for respective products and services or functions.

Demonstrates ability to retain customer priority and execute innovating on new products and services at the same time

Primarily driven by customer needs and requirements. Gives first priority to serving customers.

Collection and analysis of product usage data

Enterprise visualization of Complete stack of dashboard.
End to End data lake with full stack availability
Evidence of Enterprise wide adoption of algorithmic model to predict the behaviour of its customer or systems that are connected to the product.
Fully GDPR compliant

Real time visibility on data to drive outcomes for their customers.
Technologies to feed data into a large scale data lake (similar to Kafka, Cloudera).
Running basic algorithmic models to predict the behaviour of its customer or systems.

All data is stored in a centralized location.
Adoption of data protection regulation compliant.
Adoption of automation across systems.

Ability to collect data using products that are connected to the ecosystem. Basic data retention policy and data usage policy in place

Concern with review and verification process to ensure

Organization remains optimized towards meeting the needs of the customer for all external interfaces and relationship between the discreet process and other processes.

Examine the verification process output to ensure governance that are adequate and timely information for management decision making.

Ascertain whether the activities are designed and integrated sufficiently in order to fulfil the support process

Is there are basic support framework in place to carry out minimum set of activities are being performed for customer support?

Generation of new business models and revenue streams

Continuous discovery and exploration of new business model.
Currently have 3+ new business models using the connected device or data collected from a single or many connected devices.

Advance stage with some level of exploration of new business model.
Currently have 2 new business models using the connected device or data collected from a single or many connected devices.

Early stage of new business model
Currently have 1 new business models using the connected device or data collected from a single or many connected devices.

Exploring the possibility to using connected device or the data collected using the connected device to build new business models.

Product Evolution

5 year product roadmap clearly defined and demonstrate through the achievement during the previous years.

1 - 2 year product road map has been defined based on strategy (Above), customer feedback and previous experience.

1 year product roadmap in place and qualified based on previous experience or customer product feedback

Minimum 6 month product roadmap defined.





Connected Product/Service

How an organization manage the physical and digital world to digitally interact with the consumer to gain insight about user behaviour and augment user experience.

Business Model Innovation

Build innovative business models or reconfigure existing business models based on consumer insights that enables business transformation and ensures novel and continuous revenue streams.

Digitized Product & Services

Customers buy experience not just the product / service hence organizations should focus on selling to customers a journey or experience rather than a product /service. By enabling the product / service to digitally interact with the consumer, the organization can gain valuable insights about the consumers and the products / service in use giving the ability to augment both the product / service and consumer experience.

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