Problems such as high volumes of: system defects, project change requests, data migration errors, resource burnout and stress, resources working overtime, poor test execution are recognised mid-project cause impact to delivery. These problems can be counter-measured may include resetting project expectations and outcomes, aligning on deliverable scope, improvement project team communications, resetting vision, resource management. The introduction of structured assurance regimes significantly increase the likelihood of a timely quality delivery.
Our Design | Build | Test quality assurance techniques ensure that technology solutions are designed and developed to meet the desired objectives, requirements, and quality standards. It involves various activities and methodologies aimed at verifying and validating the design risks, enhance performance, and ensure successful implementation via test acceptance
Problem: A number of project schedule reforests lead to delay after delay.
Outcome: Re-baseline schedule with deliverability quotient managed to deliver to revised schedule
Process: 'Project Schedule and Deliverability Assurance Assesment'
Problem: No quality assurance regime, resulting in solutions going live with bugs
Outcome: Significant reduction in Build and Test defects, relieving the pressure of go live critical path, improving quality outcomes and customer satisfaction
Process: Implementation of 'Design, Build, Test Quality Assure method'
Problem: The data team on a major ERP program was logging large overtime hours, without showing results.
Outcome: 75% reduction of billed hours and reallocation of work assignment resulting in higher eNPS and cNPS
Process: 'Time and Motion Study with Capability assessment'
Problem: This project commenced with poorly defined scope leading to disagreements of solution design
Outcome: This project required strategic pause, to define and align on scope. Project phase 1 went live with defined scope and clear pathway to deploy
Process: Implementation of ''Scope Assurance method'
Problem: Poor quality and cost control leading to highly ineffective project delivery
Outcome: Reduction in cycle time by 50%. Improvement in Quality outcomes (less defects), eNPS uplift (focusing on the right things), ability to Quantify value and burn rate
Process: Implement 'Solution Delivery Assurance method'
Problem: Software vendor proposed a 10x cost increase
Outcome: Assessment of investment and TCO resulted in termination of incumbent software vendor. Path to assess alternate new technology options was developed
Process: Implementation of 'Fit for Purpose method'
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