Girls code program Impact Report
From anxiety to agency: participants moved from low confidence at Pre to real projects, interviews, and a first tech job by Post.
What this report does
- Segment responses by stage (Pre, Mid, Post) and aggregate key metrics.
- Summarize test scores, project completion, confidence, resume impact, and NPS.
- Extract representative testimonials per stage and surface challenges.
- Flag data gaps or inconsistencies with clear warnings and n-sizes.
- Offer actionable improvements informed by the data.
Key Program Insights
Average coding test rose by +7.8 points (Pre→Mid, n=6). Notable gains: Ying +32, Triana +31.
Built a web app: Pre 0% (0/6) → Mid 67% (4/6) → Post 100% (1/1). Strong shift to applied learning.
At least somewhat confident: Pre 0% (0/5) → Mid 83% (5/6). Confident/very: Mid 33% (2/6).
Resume workshop attendance: Mid 100% (6/6). Interview mentions: 50% (3/6). Post: Rosura secured a job and promotions.
Post-stage sample is limited (n=1). Pre resume attendance missing. Some fields are “-”. All stats reflect valid-response n.
Participant Experience
“The workshop gave me a real edge. Landed several interviews because of my new resume.” Mid — Rosura
“I'm now taking advanced computer science classes at school and feel prepared for them.” Post — Rosura
“The workshop was a game-changer for my job search. Super grateful.” Mid — Ying
“It's been a place where I feel motivated and confident in myself... built friendships.” Mid — Triana
- Pre: Low starting confidence — “I've never coded before and it seems really complicated.” (Rosura, Pre); “coding looks full of difficult math.” (Irina, Pre)
- Mid: Confidence is uneven — Ying: “I'm not very confident… need help debugging.” (Mid)
- Mid: Attendance/consistency barriers — Pravalika felt overwhelmed and missed many sessions (Mid).
- Data: Pre resume workshop and most Post metrics are sparse/“–”.
Improvements in Confidence & Skills
- Attendance: Mid 100% (6/6); Post 100% (1/1)
- Interview mentions: Mid 50% (3/6)
- Positive/neutral feedback: Mid 83% (5/6)
- Post: First tech job & promotions (Rosura)
Post-stage data is limited (n=1), and several Pre fields (e.g., resume attendance) are missing (“–”). Interpret Post and any Pre resume comparisons with caution.
Opportunities to Improve
Short, hands-on intro modules to demystify coding and math—move more learners from “anxious” to “curious.”
Weekly live debugging/code review hours to lift those “not very confident” at Mid.
Tiered web app paths (starter → intermediate) so every learner ships a project.
Make-up sessions and on-demand modules to reduce missed content (address Mid overwhelm).
Lightweight reminders, peer study pods, and caregiver updates to sustain consistency.
Offer advanced CS and mentorship for high performers (e.g., Ying, Triana) to sustain momentum.
Need to Know
We grouped responses by stage (Pre, Mid, Post) and computed averages/percentages using only valid answers (excluding “–”). Each stat shows n.
Net Promoter Score = %Promoters (9–10) − %Detractors (0–6). Mid NPS = +33 (n=6): 50% promoters, 17% detractors, 33% passives.
Pre resume attendance and most Post metrics are missing (“–”); Post has n=1. We surface n to ensure transparent interpretation.
Direct participant statements were chosen to represent common sentiments at each stage (positive and challenging).
Overall Summary
The program demonstrates clear impact from Pre to Mid: test scores rise (+7.8), two-thirds ship a web app, and confidence shifts from 0% to 83% “at least somewhat confident.” Career readiness is strong—100% Mid attendance for the resume workshop, frequent interview mentions, and by Post, one alum reports a first tech job and promotions. Mid NPS sits at +33, signaling strong advocacy with room to grow. Key risks remain: uneven confidence (debugging support), attendance gaps, and sparse Post data. Overall, the program effectively converts apprehension into achievement and opportunity for girls exploring tech.