AI testing Toolkit

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Save time, empower your teams and effectively upgrade your processes with access to this practical AI testing Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any AI testing related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated AI testing specific requirements:


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the AI testing Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals...


STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 992 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which AI testing improvements can be made.

Examples; 10 of the 992 standard requirements:

  1. What are the advantages and disadvantages for consumers and for businesses of utilizing products or services facilitated by algorithms, artificial intelligence, or predictive analytics?

  2. Do you test user scenarios that span features. do you create, from scratch, a graphics heavy document, print it, resize it for A4 paper, and print it again?

  3. What level of performance test automation has your organization achieved as a result of the services the vendor is providing/has provided you?

  4. What level of functional test automation has your organization achieved as a result of the services the vendor is providing/has provided you?

  5. What are the advantages and disadvantages of developing technologies for which the basis for the results can or cannot be determined?

  6. Does the AI testing tool implementation include product installation alone or does it includes installation and automation of test?

  7. What are the steps or approach that AI testing solutions will need to consider to be understand systems like a human tester does?

  8. Which of goals is correct, should AI be indistinguishable from a human player or should it try to be a better role player?

  9. Do companies and the leaders, as part of the long term vision and strategy, need to apply more focus on the own people?

  10. What features distinguish products or services that use algorithms, artificial intelligence, or predictive analytics?


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the AI testing book in PDF containing 992 requirements, which criteria correspond to the criteria in...

Your AI testing self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the AI testing Self-Assessment and Scorecard you will develop a clear picture of which AI testing areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough AI testing Self-Assessment
    • Is secure: Ensures offline data protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:

 

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage AI testing projects with the 62 implementation resources:

  • 62 step-by-step AI testing Project Management Form Templates covering over 1500 AI testing project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Planning Process Group: To what extent and in what ways are the AI testing project contributing to progress towards organizational reform?

  2. Human Resource Management Plan: Was the AI testing project schedule reviewed by all stakeholders and formally accepted?

  3. WBS Dictionary: Are the variances between budgeted and actual indirect costs identified and analyzed at the level of assigned responsibility for control (indirect pool, department, etc.)?

  4. Project Portfolio management: Do you analyze the impact of individual new AI testing projects to the overall portfolio?

  5. Schedule Management Plan: Are the appropriate IT resources adequate to meet planned commitments?

  6. Procurement Audit: Is a cost/benefit analysis, a cost/effectiveness or a financial analysis considering life-cycle costs performed and is the funding of the procurement guaranteed?

  7. Activity Duration Estimates: How difficult will it be to do specific activities on this AI testing project?

  8. Team Member Performance Assessment: How do you currently use the time that is available?

  9. Change Management Plan: Does this change represent a completely new process for your organization, or a different application of an existing process?

  10. Procurement Management Plan: Are trade-offs between accepting the risk and mitigating the risk identified?

 
Step-by-step and complete AI testing Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 AI testing project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 AI testing project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 AI testing project Scope Statement
  • 2.7 Assumption and Constraint Log
  • 2.8 Work Breakdown Structure
  • 2.9 WBS Dictionary
  • 2.10 Schedule Management Plan
  • 2.11 Activity List
  • 2.12 Activity Attributes
  • 2.13 Milestone List
  • 2.14 Network Diagram
  • 2.15 Activity Resource Requirements
  • 2.16 Resource Breakdown Structure
  • 2.17 Activity Duration Estimates
  • 2.18 Duration Estimating Worksheet
  • 2.19 AI testing project Schedule
  • 2.20 Cost Management Plan
  • 2.21 Activity Cost Estimates
  • 2.22 Cost Estimating Worksheet
  • 2.23 Cost Baseline
  • 2.24 Quality Management Plan
  • 2.25 Quality Metrics
  • 2.26 Process Improvement Plan
  • 2.27 Responsibility Assignment Matrix
  • 2.28 Roles and Responsibilities
  • 2.29 Human Resource Management Plan
  • 2.30 Communications Management Plan
  • 2.31 Risk Management Plan
  • 2.32 Risk Register
  • 2.33 Probability and Impact Assessment
  • 2.34 Probability and Impact Matrix
  • 2.35 Risk Data Sheet
  • 2.36 Procurement Management Plan
  • 2.37 Source Selection Criteria
  • 2.38 Stakeholder Management Plan
  • 2.39 Change Management Plan


3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:

  • 4.1 AI testing project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance


5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 AI testing project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any AI testing project with this in-depth AI testing Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose AI testing projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in AI testing and put process design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make AI testing investments work better.

This AI testing All-Inclusive Toolkit enables You to be that person.

 

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.