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Learning tools based on Validation Questions

Read more about the validation here.



State your mission and vision. Record leadership, board member, and volunteer information.

Philosophy & Approach

  • Mission Statement

    States the goals of your organization and what you do on a daily basis. The mission statement helps your organization achieve the long-term goal set forth in the vision statement created by the board of directors.

    Answer the question: "Why do we exist?"

    First --> "Our mission is to ______ (insert verb with present tense),
    Second --> "the ____" (Explain what you do and for whom)
    Third --> "to _____" (state the benefits)

    Example: Google's Mission Statement
    Our mission is to organize (verb)
    the world's information (what they do and for whom "the world")
    to make it universally accessible and useful (the benefit).

    200 Mission Statement Examples


  • Vision Statement

    An extension of your mission statement that shows what your organization is working towards in the future overall by practicing your mission statement each and every day.

    Answer the question: "Where are we going and why?"

    First-->"We envision____" (good place to start)
    Second-->State the impact you're making in the world
    Third-->State what the world looks like

    Example: LinkedIn's Vision
    “To connect the world’s professionals to make them more productive and successful.”

    100 Examples of Great Vision Statements

  • Value Statement and/or Value Propositions

    A value statement is an expression of the main priorities and values of your business. In this section, you list the values that guides your organization.

    You can also state your value propositions. These propositions can help you explain the benefit you are bringing to the world and in your community.

    Example: WikiCharities Value Proposition for Funders
    To reduce the burden (time and funds) spent on gathering information and maintaining an internal database to verify nonprofits prior to giving.


  • Elevator Pitch

    An elevator pitch should be less than 30 seconds.

    7 Essentials for an Elevator Pitch
    Be brief
    Be clear
    Make it specific to your audience
    Highlight your benefits
    Identify the problem and your solution
    Make a compelling call-to-action
    Extend an invitation to continue the conversation.


  • Board of Directors

    Here is a sample of our Board of Directors Requirement document. Feel free to use this as a template when you create yours. 

    Board-Responsbilities.WikiCharities (1).docx

  • Volunteer Waiver(s)

    Here is a sample of our volunteer waiver and release form. Feel free to use this as a template when you create one that fits your organizational needs.

    Volunteer-Waiver-and-Release-Form (1).docx 

  • S.W.O.T. Analysis


Upload financial statements and 990s. Outline your revenue, expenses and funders.

Financial Health


Upload impact reports, videos and images. Identify past and current projects.


Additional Resources

See our 2022 Full List of Resources Publication Here

Cognityze (cognityze.com) is a machine learning systems integration organization.  We have years of experience helping our clients design, train, and deploy highly optimized machine learning models that have led to significant operational efficiencies.  We have a wealth of experience building machine learning solutions for the following use cases:

  1. Time Series Forecasting
  2. Anomaly Detection
  3. Preventative Maintenance
  4. Natural Language Processing
  5. Price Prediction
  6. Recommender System

Aside from helping our clients, we dedicate a portion of our resources to offering pro-bono machine learning services to the qualifying non-profit organization.

Non-profit organizations can benefit from machine learning in many ways.  The following are just a few examples:

  1. Donation Forecasting: Machine learning time series forecasting techniques can be used to forecast the expected levels of donations at various future timeframes.  This can help non-profits to do proper resource planning for peak periods.
  2. Identifying Donors at Risk: Machine learning anomaly detection techniques can be used to detect subtle changes in the behavior of loyal donors that might be dissatisfied.  Early intervention can usually save such donors.  The cost of signing up new donors is far greater than saving the existing ones.
  3. Sentiment Analysis: Textual feedback and reviews of donors can be analyzed using Natural Language Processing to determine the general perception held by donors.  Organizations can be alerted when there is a shift in public perceptions.
  4. Donor Segmentation: Machine learning can be used to categorize donors into groups that behave similarly to certain promotional campaigns.  This can help organizations to fine-tune their campaigns targeting a specific segment of their donors.

**Nonprofit who are interested in getting their support, please contact Al Gharak - al@cognityze.com