Case study 02 / 06

All work

BRIMMHQ

Designing maternal-support operations around trust and continuity

A human-led maternal-support venture organising participant check-ins, expert access, escalation thinking and follow-up between appointments.

Role
Co-founder · Operations & Venture
Period
2026–Present
Venture discoveryPilot operationsPartnershipsEvidence systemsGTM
Winner Olokede wearing a BRIMMHQ shirt
Winner Olokede · BRIMMHQ co-founder

The operating problem

Pregnancy and postpartum needs do not disappear between appointments. The operating problem was to create support that could notice a need, respond at the right level, escalate when necessary and record whether the loop actually closed.

BRIMMHQ is an early-stage maternal-support platform for pregnancy and postpartum. It is being built deliberately through small pilots—not presented as a mature, scaled healthtech company.

What I owned

From ambiguity
to an operating path.

The work is shown as decisions and systems—not a list of software tools or an inflated job description.

  1. 01

    Defined the support loop

    Turned a broad idea about maternal support into a working Need → Response → Escalation → Closure model.

  2. 02

    Ran the operating layer

    Built WhatsApp-led prompts, private check-ins, expert sessions, question capture and escalation routing for the first pilot.

  3. 03

    Made learning visible

    Created an evidence chain and learning report that separated participant signals, responses, escalations and known outcomes.

  4. 04

    Used gaps as decisions

    Converted weak closure documentation and untested willingness-to-pay into explicit design questions for the next iteration.

BRIMMHQ evidence chain showing need, response, escalation and outcome
Real project artifact · consent-safe summary

The evidence chain

Need → Response → Escalation → Outcome

Every step has to be observable. The absence of a recorded outcome is treated as a gap in the system—not quietly upgraded into success.

Evidence bank

E1

Pilot operating record

Session records, participant feedback and a consent-safe learning report provide the strongest current evidence.

E2

Public product footprint

The live BRIMMHQ site describes stage-based guidance, continuity of support and an expert-backed model.

What changed

The idea became an observable service flow spanning recruitment, verification, consent, segmentation, check-ins, education, escalation and follow-up.

What I learned

Pilot 1 suggested that structured support was valued. It did not prove clinical outcomes, willingness to pay, repeatable escalation closure, unit economics or scale. Those limits are part of the work, not footnotes to hide.

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