Save time, empower your teams and effectively upgrade your processes with access to this practical Computational neuroscience Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Computational neuroscience 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 Computational neuroscience specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Computational neuroscience 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 636 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Computational neuroscience improvements can be made.
Examples; 10 of the 636 standard requirements:
- Can the solution be designed and implemented within an acceptable time period?
- Who needs to know about Computational neuroscience ?
- A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Computational neuroscience models, tools and techniques are necessary?
- how do senior leaders actions reflect a commitment to the organizations Computational neuroscience values?
- What kind of crime could a potential new hire have committed that would not only not disqualify him/her from being hired by our organization, but would actually indicate that he/she might be a particularly good fit?
- What to measure and why?
- What is our theory of human motivation, and how does our compensation plan fit with that view?
- What is your BATNA (best alternative to a negotiated agreement)?
- How large is the gap between current performance and the customer-specified (goal) performance?
- Schedule Development, Feasibility Analysis, Computational neuroscience Management, Project Closings, Technique: Using the Critical Path Method
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 Computational neuroscience book in PDF containing 636 requirements, which criteria correspond to the criteria in…
Your Computational neuroscience 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 Computational neuroscience Self-Assessment and Scorecard you will develop a clear picture of which Computational neuroscience 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 Computational neuroscience 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 Computational neuroscience projects with the 62 implementation resources:
- 62 step-by-step Computational neuroscience Project Management Form Templates covering over 6000 Computational neuroscience project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Roles and Responsibilities: Is there a training program in place for stakeholders covering expectations, roles and responsibilities and any addition knowledge others need to be good stakeholders?
- Team Performance Assessment: To what degree are sub-teams possible or necessary?
- Lessons Learned: How well does the product or service the Computational neuroscience project produced meet the defined Computational neuroscience project requirements?
- Probability and Impact Assessment: Monitoring of the overall Computational neuroscience project status – are there any changes in the Computational neuroscience project that can effect and cause new possible risks?
- Risk Register: Assume the risk event or situation happens, what would the impact be?
- Risk Management Plan: Monitoring -what factors can you track that will enable us to determine if the risk is becoming more or less likely?
- Human Resource Management Plan: Is there an on-going process in place to monitor Computational neuroscience project risks?
- WBS Dictionary: Appropriate work authorization documents which subdivide the contractual effort and responsibilities, within functional organizations?
- Procurement Audit: Are known obligations, such as salaries and contracts, encumbered at the beginning of the year?
Step-by-step and complete Computational neuroscience Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Computational neuroscience project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Computational neuroscience project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Computational neuroscience 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 Computational neuroscience 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 Computational neuroscience 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 Computational neuroscience project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Computational neuroscience project with this in-depth Computational neuroscience Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Computational neuroscience 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 Computational neuroscience 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 Computational neuroscience investments work better.
This Computational neuroscience 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.