Girls code program Impact Report

Girls code program Impact Report

From anxious first steps to tangible outcomes: learners built projects, boosted confidence, and unlocked real opportunities.

+7.8
Avg. coding test score gain from Pre (56.7) to Mid (64.5), n=6
67%
Built a web app by Mid (4/6); Pre: 0% (0/6)
+33 NPS
Net Promoter Score at Mid (n=6); Post n=1 scored 10/10

All insights are computed solely from the provided Pre, Mid, and Post survey data.

Key Program Insights

Rapid Skills Growth

Average coding test scores rose by 7.8 points from Pre to Mid (n=6).

Portfolio Momentum

Web app completion jumped from 0% at Pre (0/6) to 67% at Mid (4/6); Post: 1/1 alum built apps.

Resume Workshop ROI

100% Mid-stage participants attended (6/6); 50% explicitly reported interviews (3/6).

Confidence Climb

Low confidence fell from 100% at Pre (5/5) to 17% at Mid (1/6); high confidence reached 33% (2/6).

Sustained Outcomes

Post-stage alum (1/1) reports first tech job, promotions, and success in advanced CS classes.

Participant Experience

Positive Experiences

  • “The workshop gave me a real edge. Landed several interviews because of my new resume.” — Rosura (Mid)
  • “Thanks to the workshop, I’ve had multiple interviews. It’s been a confidence booster.” — Enas (Mid)
  • “The workshop was a game-changer for my job search.” — Ying (Mid)
  • “It’s been a place where I feel motivated and confident in myself.” — Triana (Mid)
  • “A year after finishing, I can see how much it boosted my confidence in tech... now taking advanced CS classes.” — Rosura (Post)

Challenges / Negative Feedback

  • Beginners felt intimidated or confused by coding at Pre (e.g., “I’ve never coded before… feels complicated,” “really confusing,” “full of difficult math”).
  • Debugging support needed: one Mid participant was “not very confident” due to frequent debugging help (Ying).
  • Inconsistent attendance impacted outcomes for some (Pravalika: missed sessions, felt overwhelmed).
  • Not all Mid participants built a web app (2/6 reported “No”).

Improvements in Confidence & Skills

Confidence Shift (Pre → Mid)

Low confidence Pre: 100% (5/5) → Mid: 17% (1/6)
Medium confidence Pre: 0% → Mid: 50% (3/6)
High confidence Pre: 0% → Mid: 33% (2/6)

Categorization based on participant self-descriptions at each stage.

Coding Test Performance

56.7
Pre average (n=6)
64.5
Mid average (n=6)
+7.8 point increase overall.
“I feel very confident… built a few web apps from scratch.” — Rosura (Mid)

Projects & Career Readiness

  • 0% Pre web apps built (0/6).
  • 67% Mid web apps built (4/6).
  • 100% Mid resume workshop attendance (6/6).
  • 50% Mid participants explicitly reported interviews (3/6).
“The workshop’s impact has been long-lasting… landed my first tech job and promotions.” — Rosura (Post)

Opportunities to Improve

Structured Debugging Labs

Weekly live “fix-it” sessions to address confidence dips tied to debugging struggles (e.g., Ying).

Starter-to-Showcase Project Path

Scaffold project milestones so more learners ship a web app by Mid (2/6 didn’t).

Flexible Attendance & Catch‑Up

Offer recorded sessions, micro-goals, and “returning learner” tracks for those who miss time (e.g., Pravalika).

Confidence On‑Ramp

Normalize beginner anxiety early with mini-wins and peer mentoring to accelerate the Pre→Mid confidence shift.

Resume → Interview Pipeline

Extend workshop with mock interviews and referral hours; build on the 50% interview signal at Mid.

Need to Know

How many participants built a web app by Mid?

4 of 6 (67%). At Pre it was 0 of 6 (0%).

What changed in confidence from Pre to Mid?

Low confidence dropped from 100% (5/5) to 17% (1/6); high confidence rose to 33% (2/6).

Did the resume workshop impact interviews?

Yes. 100% attended at Mid (6/6), and 3 participants explicitly reported landing interviews.

How strong is participant advocacy (NPS)?

Mid-stage NPS is +33 (Promoters 50%, Detractors 17%, n=6). Post has one response (10/10).

Any evidence of longer-term outcomes?

Yes. The Post-stage alum reports securing a first tech job, earning promotions, and succeeding in advanced CS classes.

Overall Summary

The program demonstrates strong movement from early apprehension to practical skill-building and opportunity. Within one cycle, average test scores increased, most Mid participants shipped web apps, and all engaged with resume support—yielding multiple interviews. Confidence gains were notable, with low-confidence profiles dropping sharply by Mid. Early Post data, while limited, indicates career traction and advanced coursework readiness. Continued focus on debugging support, project scaffolding, and flexible participation can further expand outcomes and ensure more learners reach portfolio and interview milestones.

Skills up Confidence up Career signals

Note: Post-stage sample size is small (n=1). All figures derived strictly from provided survey responses.