Redefining Breastfeeding Support

To support the US launch of a new hands-free breast pump (and address a critical gap in the Pregnancy+ app) I used AI-assisted drafting + editorial guardrails to develop a comprehensive feeding content strategy designed to transform how parents discover, navigate, and engage with breastfeeding content. 

The goal wasn’t to create more content. It was to build a scalable content system that reflects how feeding actually works in real life, before, during, and after birth.

Breastfeeding content is tricky. It needs to be medically accurate, but also incredibly human. Parents often come to it when they’re overwhelmed, tired, or unsure and the last thing they need is something that feels clinical or judgmental.

To support this at scale, I used AI as a thinking partner and drafting tool, while keeping editorial judgment firmly human-led.

• Reduced drafting time, allowing greater focus on content quality, coverage gaps, and strategic improvements
• Expanded coverage of real user concerns, improving relevance and engagement
• Maintained a consistent, empathetic voice at scale across a high-sensitivity topic

Mapping Real User Needs (not just topics)

• Mapped out the full range of user concerns, from common questions (latching, supply) to more emotional ones (feeling like it’s not working, guilt around stopping)
• Made sure we weren’t over-focusing on “how-to” content and missing the emotional side of the experience
• Explored different ways into sensitive topics so we could meet users where they are

Example prompt framework:

You are a postpartum content strategist.

List the top concerns a new parent may have about [topic: breastfeeding pain].

Group them into:

1. Practical/physical concerns
2. Emotional concerns
3. Misconceptions or fears

Then identify gaps in typical content coverage and suggest overlooked topics that would better support users emotionally.

Speeding Up Drafts Without Losing the Voice

AI helped get first drafts moving faster but only within clear guardrails.

• Used structured prompts to keep tone warm, simple, and non-judgmental
• Built in things like reading level, sentence length, and emotional framing
• Focused on consistency, especially across a large set of articles

Example prompt framework:

Write a section of an article about [topic: low milk supply].

Requirements:

• 6th grade reading level
• Warm, conversational tone
• Non-judgmental and supportive (no guilt-inducing language)
• Medically responsible for US based healthcare (no absolutes, no promises of outcomes)
• Use contractions and short sentences

Structure:

1. Acknowledge the concern empathetically
2. Provide clear, practical explanation
3. Offer gentle reassurance
4. Suggest when to seek professional help

Human-led Refinement for Trust and Nuance

This is where the real work happens.

AI drafts were a starting point, but I edited heavily to make sure the content felt:

• genuinely supportive (not generic or overly polished)
• culturally appropriate for a US audience
• aligned with healthcare guidance and brand standards

I also used AI to help spot tone issues at scale.

Example prompt framework:

Review this content for tone and emotional impact. Flag any language that:

• Could induce guilt, pressure, or anxiety
• Sounds overly clinical or impersonal
• Lacks inclusivity (assumes one feeding method or experience)
• Suggest revisions that improve warmth, clarity, and empathy while maintaining accuracy.

Consistency and System-level Quality Checks

• Introduced an AI-assisted workflow to create structured first drafts aligned to tone, reading level, and UX patterns
• Leveraged AI to audit tone, terminology, and structure across the breastfeeding content set, reinforcing consistency across contributors and touchpoints

Example prompt framework:

Compare these two articles on [topic: breastfeeding challenges].

Evaluate for:

• Tone consistency
• Terminology alignment
• Reading level consistency
• Emotional support level

Highlight inconsistencies and recommend edits to unify voice and experience.

Working with: 

• Product
• Design
• Marketing
• Analytics
• Legal and compliance

Currently co-creating solutions by running weekly design and content sprints with developers and stakeholders, ensuring technical feasibility and user needs were aligned.

Facilitating communication between design and engineering teams, translating user research into actionable development tasks.

Sharing ownership of deliverables by conducting joint usability testing sessions, where feedback is reviewed and prioritized collectively.