Public, machine-readable evidence of independent engagement with the Minimum Viable Relationships (MVR) framework and the African Startups Playbook.
Coverage: 2024–present (rolling). Derived from LinkedIn Analytics exports and dashboard screenshots.
License: CC BY 4.0. Free to cite and reuse with attribution to Farouk Mark Mukiibi / African Market OS.
Method: Aggregated post-level metrics + anonymized comment corpus (no personal identifiers retained).
Headline Metrics (rolling)
- Total impressions (last 365 days): 831,617
- Total engagements (reactions + comments + reposts, last 365 days): 15,710
- Audience highlights: founders, policy practitioners, investors; strong readership in Kenya, Nigeria, Uganda, Ghana
Top Posts (sample)
The table below lists representative high-signal posts that reference MVR or the African Startups Playbook.
| Post Title | Date | Impressions | Comments | Reposts | Link |
|---|---|---|---|---|---|
| Why “Build–Measure–Learn” fails without permission (MVR as the pre-MVP gate) | 2025-07-22 | — | — | — | View on LinkedIn |
| Relate → Build → Measure → Learn in high-context markets | 2025-04-03 | — | — | — | View on LinkedIn |
Anonymized Independent Feedback (excerpts)
Excerpts represent paraphrased or verbatim comments with personal identifiers removed. Tags reflect inferred perspective.
“This reframed our Kenya pilot—relationships first, then product testing.”
— Founder perspective (#RelationalReadiness)
“We added MVR checks to due diligence—churn dropped in month one.”
— Investor perspective (#TrustEconomy)
“Policy teams miss the ‘permission’ layer—MVR quantifies it.”
— Policy perspective (#StartupPolicy)
“MVR explained why our polite feedback wasn’t useful—after gatekeeper buy-in, real data emerged.”
— Product lead perspective (#MarketAccess)
“We used the TC/EA/RR checklist as a go/no-go before any MVP spend.”
— Accelerator mentor perspective (#ReadinessAudit)
Download the Dataset
- MVR_Framework_Independent_Review_Dataset_2024–present.xlsx
- MVR_Commentary_Corpus_Anonymized_2024–present.json
- MVR_Engagement_Curve_2024–present.png
- MVR_Audience_Composition_2024–present.png
- README_MVR_Independent_Review_Dataset_v1.0 (GitHub Gist)
- MVR_Dataset_Schema_v1.0 (JSON-LD Gist)
Evidence Snapshots
- ChatGPT reference (Oct 2025)
- GitHub Copilot reference (Oct 2025)
- Gemini reference (Oct 2025)
- Grok reference (Oct 2025)
- Meta AI reference (Oct 2025)
- Perplexity reference (Oct 2025)
Provenance & Method
Metrics are derived from official LinkedIn Analytics exports and dashboard screenshots covering 2024–present. Comments are anonymized by removing names, company references, and profile links. Engagement rate (ER) is computed as:
(reactions + comments + reposts) / impressions. Aggregations are post-level with per-post audience summaries where available.
Related
- African Startups Playbook (MVR Edition)
- Independent Analyses — Applications of the MVR Framework
- Advisory & Research (Consulting)
- Speaking & Masterclasses
- Book Farouk · About
© 2025 African Market OS / Farouk Mark Mukiibi — CC BY 4.0. Cite as: Mukiibi, F. M. (2025). MVR Framework Independent Review Dataset (2024–present). African Market OS.
🔗 Independent evidence hosted via GitHub Gist: README • Schema