Lesson Certificates

Brand Strategist Foundations · 7 independently certifiable modules

What this is

Every module in Foundations is independently certifiable. You don't have to complete all 7 to earn a credential. Pick one, do the focused micro-portfolio at the end, submit it, get it peer-reviewed against the published rubric, and walk away with an Open Badges 3.0 micro-credential you can display on LinkedIn.

The lesson certs stack: earn all 7 + pass the final synthesis portfolio, and you've earned the full Adytum Certified · Brand Strategist · Foundations credential — the parent cert that subsumes the 7 micro-certs.

The stacking model

7 lesson certs (one per module) + final synthesis portfolio = full Foundations certificate
4 Tier certificates (Foundations → Practitioner → Expert → Master) = full Track Master credential

The 7 lesson certificates

adytum.bs.foundations.domain-theory

Module 1 — Domain Theory

What it proves: You can identify a brand's archetype and articulate its position with theoretical grounding.

Micro-portfolio (~45 min)

Pick a brand you don't own or work for. Write a 1-page archetype + position analysis covering: (a) primary Mark/Pearson archetype with evidence, (b) corresponding Adytum voice archetype, (c) brand's position expressed as a single customer-voice sentence (the way a satisfied customer would describe what the brand is for them), (d) 2-3 specific evidence samples that support your archetype call.

Rubric — 5 dimensions

  1. Archetype identification — correctly applied with evidence, not just labeled
  2. Voice archetype match — Adytum voice archetype aligns coherently with the character archetype
  3. Position statement — written in customer voice, single sentence, captures actual benefit (not feature list)
  4. Calibrated honesty — no hallucinated claims about the brand; everything traces to observable evidence
  5. Evidence quality — at least 2 specific samples cited (URL, asset, quote with attribution)

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.workflow-design

Module 2 — Workflow Design

What it proves: You can extract a brand voice from real samples and produce a usable voice document.

Micro-portfolio (~75 min)

Run a mini voice extraction on 10 samples from a brand of your choice (sourced from real public assets — website, social, podcast, newsletter, etc.). Deliver a 1-page voice document following the Module 2 §2.1 sample artifact format: vocabulary preferred/avoided, syntax markers, tone register, in-voice + out-of-voice examples with reasoning.

Rubric — 5 dimensions

  1. Sample sourcing — 10 samples with channel diversity (not all from one source); each cited with link or screenshot
  2. Vocabulary lists — preferred and avoided each have 5+ items with reasoning
  3. Syntax markers documented — sentence length range, rhythm, contraction use, punctuation preferences, hedge-word policy
  4. In-voice + out-of-voice examples — at least 2 of each, with brief explanation of why each is or isn't in voice
  5. Tool independence — the deliverable could have been produced with any toolchain; no Adytum-app dependency

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.process-design

Module 3 — Process Design

What it proves: You can design an intake + governance system that scales brand work without becoming a bottleneck.

Micro-portfolio (~45 min)

Design a brand-request intake form for a real or fictional org (~50 people, mixed marketing/sales/product/HR needs). Include: 8 required fields from Module 3 §3.1, 3 explicit rejection criteria, SLA expectations differentiated by request type (rush vs. standard vs. project), and a decision-rights line (DACI or named approver field).

Rubric — 5 dimensions

  1. Field completeness — all 8 required fields present and correctly scoped
  2. Rejection criteria — operational and specific (not vague like "if it's bad")
  3. SLA differentiation — request types have distinct, realistic SLAs
  4. Audience-appropriate — would actually be usable by non-brand requesters without coaching
  5. Decision rights — DACI matrix or named approver field present; escalation path clear

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.edge-cases

Module 4 — Edge Cases

What it proves: You can recognize and handle the hard cases that distinguish a competent brand strategist from a checklist-follower.

Micro-portfolio (~60 min)

Pick 2 of the 12 cases from Module 4. For each, write a 1-page case-handling brief using the symptom → diagnostic → action → escalation pattern, applied to an invented or anonymized real scenario. Each brief should read like documentation a future brand assistant could use.

Rubric — 5 dimensions

  1. Symptom correctly identified — case classification is accurate to the scenario described
  2. Diagnostic discipline — distinguishes the alternative interpretations before action
  3. Action scope — proposed action is within strategist authority, not handwaving
  4. Escalation trigger — correctly names when this case should leave the strategist's desk
  5. Documentation quality — suitable for inclusion in a brand edge-case log; specific enough to learn from

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.stakeholders

Module 5 — Stakeholders

What it proves: You can read stakeholder dynamics and adapt your approach without compromising the brand.

Micro-portfolio (~45 min)

Pick 3 of the 7 stakeholder archetypes from Module 5. For each, write a 200-word memo describing: (a) a real or anonymized example of the archetype in action, (b) what they needed from you (stated and unstated), (c) how you adapted your approach (or, if it didn't go well, what you should have done).

Rubric — 5 dimensions

  1. Archetype recognition — the example actually fits the archetype, with specific behaviors named
  2. Behavior specificity — names what the person said or did, not just labels them
  3. Adaptation strategy — matches what the archetype actually needs (vs generic "communicate better")
  4. Reflective honesty — distinguishes what worked from what didn't; no defensive narration
  5. Avoids textbook tone — reads like learned experience, not theory paraphrased

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.ethics-governance

Module 6 — Ethics & Governance

What it proves: You can audit brand content for ethics, honesty, and disclosure compliance — and act on what you find.

Micro-portfolio (~60 min)

Audit one piece of brand content (your choice — email, landing page, social post, paid ad, podcast episode description, etc.) against (a) the calibrated honesty discipline from Module 6 §6.1, (b) FTC disclosure rules from §6.3, (c) inclusive-language considerations from §6.4, (d) AI-output ethics from §6.5. Produce a 1-page findings report.

Rubric — 5 dimensions

  1. Calibrated honesty audit — issues identified with specifics, or absence noted with reasoning
  2. FTC compliance check — disclosure obligations identified accurately (or correctly noted as N/A)
  3. Inclusive language review — applied without overreach; cites specific phrases or notes none flagged
  4. AI-output consideration — whether the content involved AI is addressed and disclosure adequacy assessed
  5. Actionable findings — recommendations are specific enough that someone could execute them; not vague

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

adytum.bs.foundations.measurement

Module 7 — Measurement

What it proves: You can design measurement that drives brand decisions instead of theater.

Micro-portfolio (~45 min)

Design a quarterly brand-health one-pager template for a real or fictional org. Must include: 5 consistency metrics, 1 trend metric, 1 strategic question for the quarter, and a brief explanation of why each metric was chosen and what decision it informs.

Rubric — 5 dimensions

  1. Metric operationality — metrics are measurable in practice, not aspirational
  2. Dimension coverage — includes both consistency and asset-lifecycle dimensions, not one-sided
  3. Decision-bearing strategic question — the question is one a leader would actually act on, not a status report
  4. Outcome connection — at least notes how operational metrics connect conceptually to brand equity
  5. Goodhart resistance — anticipates how each metric could be gamed and notes safeguards

Pass = ≥4 of 5 at threshold · 2 peer reviewers + 10% staff QA sample · Fail = 14-day cooldown then retry

Anti-inflation rules — why these credentials mean something

  1. No attendance certificates. Reading the module does not earn a credential. Only competence-proven work does.
  2. 14-day cooldown on retry after a fail. Prevents grinding the same submission until it passes.
  3. Same quality bar as track-level portfolios — peer-graded against this published rubric + Adytum staff QA on a 10% sample of submissions.
  4. Recertification every 3 years at the lesson level. Disciplines drift; credentials shouldn't pretend otherwise.
  5. Public revocation for cause. Lesson certs can be pulled if the holder is found to have misrepresented the work or violated the Adytum Certified Code of Conduct.
  6. Track-level reciprocal value (Plus subscription discount, partner-referral eligibility, listing in the public Adytum Certified directory) unlocks at full Tier completion, not at individual lesson completion. Lesson certs are valuable but partial; the parent cert is where the full value loop activates.

How submission works (today)

Foundations is in soft-launch. Lesson cert submissions are reviewed manually by Adytum staff for the first cohort while the peer-review infrastructure is being built. Submit via the enrollment portal at /certifications/brand-strategist/foundations/ — once enrolled, you'll receive instructions for portfolio submission per module.

When peer review goes live (Q3 2026 target), each submission will be reviewed by 2 other learners against this published rubric, with 10% of submissions also reviewed by Adytum staff to calibrate peer-reviewer accuracy. Open Badges 3.0 issuance is handled via Badgr.

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