Girls code program Impact Report
A clear snapshot of how participants progressed from first steps to building real projects — and how the program translated into interviews, confidence, and early career wins.
built a web app by Mid-stage (4/6). Pre: 0% (0/6). Post: 100% (1/1).
reported at least some confidence at Mid (5/6), up from 0% at Pre (0/5).
point lift in average coding test score from Pre (56.7, n=6) to Mid (64.5, n=6).
Key Program Insights
Rapid Skills Growth
Web app completion surged from 0% at Pre (0/6) to 67% at Mid (4/6), reaching 100% at Post (1/1).
Resume Readiness
Workshop attendance hit 100% at Mid (6/6) and Post (1/1). Two Mid-stage learners explicitly reported multiple interviews due to resume upgrades.
High Satisfaction (NPS)
Overall NPS is 43 (Promoters: 57%, Detractors: 14%, n=7). Strong advocacy among engaged participants.
Academic Momentum
Average test scores rose from 56.7 (Pre, n=6) to 64.5 (Mid, n=6). Top Mid score: 92. Notably, a Post-stage participant progressed to advanced CS classes and promotions in tech.
Participant Experience
Positive Experiences
- • Resume workshop enabled interviews: “The workshop gave me a real edge. Landed several interviews because of my new resume.” — Rosura (Mid)
- • Empowerment and challenge mastery: “The program made me feel empowered because I was able to tackle difficult challenges.” — Enas (Mid)
- • Confidence and belonging: “It's been a place where I feel motivated and confident in myself... built friendships.” — Triana (Mid)
- • Career acceleration: “I've not only landed my first tech job but have since received promotions.” — Rosura (Post)
- • Mindset shift: “This program has been a turning point for me...” — Ying (Mid)
Challenges / Negative Feedback
- • Early-stage anxiety: “I'm not confident at all... never coded before.” — Pre participant
- • Perceived complexity: “Coding looks like it's full of difficult math and technical stuff.” — Pre participant
- • Debugging reliance: “I often need help debugging my code and don't always understand what went wrong.” — Ying (Mid)
- • Consistency barriers: “I still face a lot of challenges... missed a lot of sessions.” — Pravalika (Mid)
Improvements in Confidence & Skills
Not-confident responses fell from 100% at Pre (5/5) to 17% at Mid (1/6).
Confident (very/confident) at Mid (2/6), up from 0% at Pre (0/5). 83% reported at least some confidence (5/6).
Built a web app: Pre (0/6), Mid (4/6), Post (1/1).
Resume workshop attendance at Mid (6/6) and Post (1/1). 33% at Mid explicitly reported multiple interviews (2/6).
Average test score gain from Pre (56.7) to Mid (64.5). Highest Mid score: 92.
Opportunities to Improve
Debugging Clinics & Code Reviews
Address Mid-stage debugging pain points with weekly clinics and guided post-mortems to deepen understanding.
Pre-Stage Onboarding Sprint
Reduce early anxiety with a 1–2 week intro: demystify coding vs. math, set up tools, complete a mini project.
Missed-Session Recovery Path
Provide recordings, office hours, and buddy check-ins for learners who miss sessions (addresses Mid-stage consistency gaps).
Resume-to-Interview Toolkit
Follow-up sprints to convert resume gains into outreach: templates, mock screens, and interview practice.
Guided First Web App
A structured, scaffolded build (templates + checkpoints) to move Pre learners from theory to shipped app.
Peer Mentorship Pods
Create small pods pairing Mid/Post achievers with Pre learners to transfer confidence and habits.
Need to Know
Who responded to the survey?
Pre (n=7), Mid (n=6), Post (n=1). Calculations use available responses per question (missing values excluded).
How were confidence metrics grouped?
Responses were categorized as Confident (very/confident), Somewhat, or Not confident based on self-reported statements at each stage.
What is the NPS and how was it computed?
Using available Mid and Post scores (n=7): Promoters (9–10) = 57%, Detractors (0–6) = 14%. NPS = 43.
Any evidence of job or academic outcomes?
Yes. A Post-stage participant reported landing a first tech job and subsequent promotions; also progressing to advanced CS coursework.
What should we prioritize next cohort?
Focus on early onboarding, debugging mastery, and flexible catch-up. These address the most cited Pre anxieties and Mid-stage barriers while preserving the resume and project strengths.
Overall Summary
The program consistently moves learners from uncertainty to capability. By Mid-stage, most participants have shipped real web applications (67%), gained meaningful confidence (83% at least somewhat confident), and leveraged the resume workshop into interviews. Satisfaction is strong (NPS 43), and the Post-stage evidence points to tangible career acceleration. With targeted improvements in onboarding, debugging, and attendance support, the program is well-positioned to deepen impact for even more learners.