play icon for videos
webinar
Data Integration for Workforce Development | Oct. 23rd, 2024 9:00 AM PDT | Register Now

Logic Model Examples - Step by Step

Explore logic model examples to see how organizations map their resources, activities, and outcomes. Use these examples to design your own strategy for measurable impact!

In this article

Logic Model Example

Empowering Nonprofits to Demonstrate Impact

In the dynamic world of nonprofits, demonstrating impact is crucial for securing funding, engaging stakeholders, and achieving mission goals. A Logic Model is a powerful tool that organizations can use to clearly outline their program's resources, activities, outputs, outcomes, and ultimate impact. This article explores a detailed Logic Model example using Girls Code, a fictional nonprofit dedicated to bridging the gender gap in STEM education.

What is a Logic Model?

A Logic Model is a visual representation that links a program's resources, activities, and outcomes. It serves as a roadmap, illustrating how a program intends to achieve its goals. Typically, a Logic Model includes five key components:

  1. Inputs: Resources required to run the program
  2. Activities: Actions taken to achieve the program's goals
  3. Outputs: Immediate results of the activities
  4. Outcomes: Short-term and long-term effects of the outputs
  5. Impact: The ultimate change the program aims to achieve

Logic Model Example Education

Girls Code (Upskilling and Training)

Girls Code is a nonprofit organization dedicated to empowering young women through STEM education. The program provides coding workshops designed to build confidence, skills, and career aspirations in the tech field.

Girls Code Logic Model

Girls Code Logic Model

Bridging the Gender Gap in STEM Education

Inputs
• Funding
• Staff
• Volunteers
• Computers
• Software
• $500,000 annual budget
• 10 full-time staff
• 50 volunteer mentors
• 100 laptops donated
Activities
• Coding workshops
• Mentorship
• Career guidance
• Project-based learning
• 52 workshops per year
• 1:5 mentor-student ratio
• 12 career panels hosted
• 4 major projects completed
Outputs
• # of workshops
• # of participants
• Skills acquired
• Participant feedback
• 1000 girls trained annually
• 95% workshop completion rate
• 4.8/5 avg. satisfaction score
• 3 programming languages taught
Outcomes
• Increased confidence
• Improved coding skills
• Career interest
• Job readiness
• 70% increase in confidence
• 35% improvement in test scores
• 80% express interest in tech careers
• 36% better job interview performance
Impact
• Increased representation of women in tech
• Closing the gender gap in STEM
• 65% of alumnae pursue STEM degrees
• 40% increase in tech job applications
• 25% increase in women-led tech startups
Resources enable activities, which produce outputs, leading to outcomes and long-term impact

Inputs

  • Funding: Grants, donations, and sponsorships
  • Human Resources: Trainers, volunteers, and administrative staff
  • Materials: Computers, software, and educational resources
  • Partnerships: Collaborations with schools, tech companies, and community organizations

Activities

  • Coding Workshops: Conduct workshops on various programming languages and technologies
  • Mentorship Programs: Pair participants with mentors from the tech industry
  • Career Guidance: Offer sessions on career opportunities in STEM and job readiness skills
  • Project-Based Learning: Engage participants in real-world projects to apply their skills

Outputs

  • Number of Workshops Held: Track the number of coding workshops conducted
  • Number of Participants: Measure the number of girls who attend and complete the workshops
  • Skills Acquired: Assess the specific coding skills gained by participants through tests and project evaluations
  • Participant Feedback: Collect qualitative data on participant satisfaction and perceived value of the workshops

Outcomes

Short-Term Outcomes:

  • Increased Confidence: Measure the change in participants' confidence in their coding abilities before and after the workshops
  • Skill Proficiency: Track improvements in coding test scores and project completion rates

Long-Term Outcomes:

  • Career Aspirations: Monitor changes in participants' interest in pursuing STEM careers
  • Job Readiness: Assess participants' readiness for job interviews and internships in tech fields

Impact

Closing the Gender Gap in STEM: The ultimate goal is to increase the representation of women in the tech workforce, contributing to gender equity in STEM fields.

Key Metrics and Impact Narrative

Girls Code has demonstrated significant impact through its program:

  • Confidence Boost: Before the program, 70% of participants lacked confidence in their coding abilities. After the workshops, this number dropped to just 23%.
  • Skill Improvement: The average coding test scores increased from 53 to 72, showcasing a substantial improvement in coding proficiency.
  • Practical Application: Prior to the workshop, 70% of participants had never built a web application. Post-workshop, only 26% remained in this category, indicating a 44% increase in hands-on skills.
  • Career Readiness: 36% of respondents reported improved performance in job interviews after the workshop.

These metrics paint a powerful picture of the program's effectiveness. Girls Code is not just teaching coding; it's building confidence, practical skills, and career readiness among young women, directly contributing to closing the gender gap in STEM fields.

Logic Model Example : Upskilling

Year Up Logic Model Wizard - Skills Training Focus

Logic Model: Skills Training Focus

Note: This tool is for learning and illustration purposes only. For designing a complete Theory of Change, start with SoPact Sense which has 200+ examples and personalized guidance.

Step 1: Program Documentation

Review the program documentation on the official website:

Visit Year Up Website

Step 2: Theory of Change Statement

Theory of Change Components:

Problem: The opportunity divide

Target Audience: Young adults from underserved communities

Cause: Systemic barriers to education and employment

Impact: Limited career prospects and economic instability

Solution: Comprehensive upskilling and workforce development programs

Step 3: Activity - Skills Training

Select a specific aspect of skills training to see associated metrics:

Selected Aspect:

Activity Metrics:

Step 4: Outputs

Select an output to see associated metrics:

Selected Output:

Output Metrics:

Step 5: Outcomes

Select an outcome to see associated metrics:

Selected Outcome:

Outcome Metrics:

Step 6: Align Data Strategy for Theory of Change (Identify data sources)

Activity Output Outcome
What is an activity?
Provide skills training for young adults

Defining relevant metrics
# of training hours provided

Data Sources
Training attendance logs, Course completion records
What is an output?
Increased skills and knowledge among participants

Defining relevant metrics
% of participants passing skills assessments

Data Sources
Skills assessment results, Certification exams
What is the outcome?
Improved employment prospects for participants

Defining relevant metrics
% of graduates employed in relevant fields

Data Sources
Graduate employment surveys, Employer feedback

Step 7: Review data collection goals

Activity Metric: Provide 1000 hours of skills training per cohort by the end of the program.

Output Metric: Increase the percentage of participants passing skills assessments from 70% to 90% within the program duration.

Outcome Metric: Achieve an 85% employment rate in relevant fields for program graduates within 6 months of completion.

Step 8: Implement data collection in Sopact Sense

To effectively measure and communicate impact:

  • Implement a robust learning management system to track training hours and course completions
  • Conduct regular skills assessments and maintain certification records
  • Establish a graduate tracking system for employment outcomes
  • Develop a dashboard to visualize progress towards metrics in real-time
  • Share quarterly impact reports with stakeholders and supporters

Communicate Final Results

To effectively design story and reporting:

Activity

Skills Training

#of training hours provided

2500

Skills Training

Output

Increased Skill and Knwoeldge

%of participatn passing skills assessment

Before 36% After 82%

Outcome

Improved Employment

% of graduates employed in relevent skills

Before 12% After %78%

Conclusion

A well-structured Logic Model, as demonstrated by the Girls Code example, is an invaluable tool for nonprofits to articulate and demonstrate their impact. By clearly outlining the inputs, activities, outputs, outcomes, and impact, organizations can effectively communicate their value to stakeholders, secure funding, and continuously improve their programs. The ability to present concrete metrics and compelling narratives of change, as shown in the Girls Code impact story, can significantly enhance a nonprofit's ability to achieve its mission and create lasting social impact.

Logic Model Template

Step Further Into the Story of Logic Model

Frequently asked questions

Why are Logic Models used in program planning and evaluation?
Logic Models are used because they provide a clear and structured way to plan programs and assess their effectiveness. They help in identifying the necessary resources, defining the activities to be undertaken, and establishing the desired outcomes. This clarity aids in efficient program management and helps in communicating the program's objectives and achievements to stakeholders.
How do Logic Models benefit stakeholders and funders?
What makes a good Logic Model?