Save time, empower your teams and effectively upgrade your processes with access to this practical Data-driven learning Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data-driven learning 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 Data-driven learning specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data-driven learning 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 686 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data-driven learning improvements can be made.
Examples; 10 of the 686 standard requirements:
- If substitutes have been appointed, have they been briefed on the Data-driven learning goals and received regular communications as to the progress to date?
- Are there any specific expectations or concerns about the Data-driven learning team, Data-driven learning itself?
- Whats the best design framework for Data-driven learning organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?
- Were the planned controls working?
- What key inputs and outputs are being measured on an ongoing basis?
- Where can we break convention?
- Think about the kind of project structure that would be appropriate for your Data-driven learning project. should it be formal and complex, or can it be less formal and relatively simple?
- Is pilot data collected and analyzed?
- Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
- What are you trying to prove to yourself, and how might it be hijacking your life and business success?
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 Data-driven learning book in PDF containing 686 requirements, which criteria correspond to the criteria in…
Your Data-driven learning 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 Data-driven learning Self-Assessment and Scorecard you will develop a clear picture of which Data-driven learning 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 Data-driven learning 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 Data-driven learning projects with the 62 implementation resources:
- 62 step-by-step Data-driven learning Project Management Form Templates covering over 6000 Data-driven learning project requirements and success criteria:
Examples; 10 of the check box criteria:
- Risk Audit: Have you considered the health and safety of everyone in the organization and do you meet work health and safety regulations?
- Source Selection Criteria: Will the technical evaluation factor unnecessarily force the acquisition into a higher-priced market segment?
- Procurement Management Plan: Have all involved Data-driven learning project stakeholders and work groups committed to the Data-driven learning project?
- Quality Audit: Are measuring and test equipment that have been placed out of service suitably identified and excluded from use in any device reconditioning operation?
- Requirements Management Plan: Is stakeholder risk tolerance an important factor for the requirements process in this Data-driven learning project?
- Scope Management Plan: Does the Business Case include how the Data-driven learning project aligns with the organizations strategic goals & objectives?
- Team Operating Agreement: Do you prevent individuals from dominating the meeting?
- Change Management Plan: What is the most positive interpretation it can receive?
- Assumption and Constraint Log: Do documented requirements exist for all critical components and areas, including technical, business, interfaces, performance, security and conversion requirements?
- Stakeholder Analysis Matrix: Who will obstruct/hinder the Data-driven learning project if they are not involved?
Step-by-step and complete Data-driven learning Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data-driven learning project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data-driven learning project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Data-driven learning 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 Data-driven learning 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 Data-driven learning 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 Data-driven learning project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Data-driven learning project with this in-depth Data-driven learning Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data-driven learning 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 Data-driven learning 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 Data-driven learning investments work better.
This Data-driven learning 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.