| name | framework-digital-transparency |
| description | Use when Digital Transparency Framework is needed to produce an applied framework assessment for social-media or digital-marketing work; use `framework-community-trust` when its narrower outcome is requested. |
| metadata | {"portable":true,"compatible_with":["claude-code","codex"]} |
Digital Transparency Framework
Use When
- Use this skill when the requested outcome is specifically a applied framework assessment and the supplied brief falls within digital transparency framework.
Do Not Use When
- Use
framework-community-trust when its narrower output is the real deliverable; do not use this skill as a generic substitute.
- Do not use it to publish, send, spend, alter a live account, or make unsupported legal, platform, performance, or certification claims.
Required Inputs
| Artefact | Source/provider | Required? | If absent |
|---|
| Observed community or transparency problem, affected audience and decision context | Requester or approved brief | Yes | Stop and request the missing decision context. |
| Brand voice, offer facts, constraints and approvals | Client source pack or authorised owner | Conditional | State assumptions; do not invent names, prices, results or approvals. |
| Performance, platform or research evidence used for claims | Traceable export, URL, document or named source | Conditional | Draft the narrowest reviewable version and flag the missing evidence. |
Capability and Permission Boundaries
Drafting is permitted within the supplied brief. Publishing, sending, spending, changing live accounts, or claiming certification requires separate explicit authority. Minimum capabilities are read access to supplied files and search across the authorised evidence set. Use only the files, tools, accounts and evidence made available for the engagement, expose every unassessed check, and obtain explicit authority before any mutation.
Degraded Mode
Fallback: if files, network access, platform data, language review or production tools are unavailable, return the narrowest useful qualified applied framework assessment; mark unavailable checks not assessed and never convert them into a pass.
Decision Rules
| Choice | Action | Failure or risk avoided |
|---|
| The observed behaviour and trust gap fit this framework | Apply the framework to the named behaviour and record the intervention choice. | Using an abstract framework without a real trust or accountability problem. |
| A required fact or approval is missing | Stop that claim or action; request it or use an explicit placeholder. | Fabricated facts, implied consent or unauthorised publication. |
| Evidence is partial but a useful draft is possible | Deliver a qualified draft with gaps and the next verification step. | Treating an unassessed requirement as passed. |
Workflow
- Confirm the exact applied framework assessment, consumer, market, channel and approval boundary; route to
framework-community-trust if it is the closer match.
- Inventory supplied facts, source provenance, constraints and missing inputs; stop if the objective, audience or authority is unknowable.
- Select the domain method and record the material decision behind it before drafting.
- Produce the smallest complete applied framework assessment; keep facts traceable and placeholders visibly unresolved.
- Test the result against the decision table, domain quality criteria and anti-slop gate; recover by narrowing or qualifying unsupported portions.
- Deliver the artefact with evidence, assumptions, unassessed checks and the next approval or verification step.
Outputs
| Artefact | Consumer | Observable acceptance condition |
|---|
| Applied framework assessment | Requester, client reviewer or delivery team | The applied framework assessment addresses the named audience and objective, records assumptions, and passes the skill's domain checks without invented facts. |
| Decision and gap note | Approver or next workflow | Names the chosen route, evidence used, unresolved inputs and any action requiring authority. |
Evidence Produced
| Evidence | Format | Acceptance condition |
|---|
| Source/assumption register and completed release checklist | Inline table, checklist or linked source note | Every material claim, decision and unavailable check is traceable. |
Quality Standards
- Preserve the domain guidance and East African market context below; replace it only when the requester names another market.
- Use British English unless the target language or market requires otherwise, and verify names, figures, quotations and platform rules before use.
- Make the key choice visible, cover failure and edge cases, and keep the result ready for its named consumer.
- Run the repository's
anti-ai-slop ship gate; a blocking factual, cultural, safety or permission defect stops release.
Anti-Patterns
- Writing before the objective and audience are known. Fix: stop and obtain the missing brief fields.
- Reusing a neighbouring skill's template because the headings look similar. Fix: route by the requested applied framework assessment, not vocabulary overlap.
- Adding a price, result, quotation, platform limit or cultural claim without a traceable source. Fix: verify it or qualify/remove it.
- Treating missing access, evidence or native-language review as approval. Fix: mark the check
not assessed and narrow the result.
- Publishing, sending, spending or changing a live account from drafting authority alone. Fix: obtain explicit action-specific authority and retain the approval record.
References
Required Inputs
Ask for the following before generating any output:
- Business name — trading name of the client
- Industry — sector and niche
- Country / city — default is Uganda/East Africa
- Primary goal — what trust improvement must achieve (increase online conversion, reduce cart abandonment, improve repeat purchase rate, attract a more sceptical demographic)
- Primary audience — describe the customer profile, including approximate age range and digital experience level
- Current digital presence — list the platforms and owned channels in use (website, social media, WhatsApp, etc.)
- Known trust gaps — any customer feedback, complaints, or sales objections related to trust or credibility
Why Digital Transparency Matters in East Africa
In Uganda and East Africa, many consumers are transacting online for the first time, or have experienced fraud, misrepresentation, or undelivered orders from online sellers. Consumer scepticism about digital commerce is not irrational — it is the result of lived experience.
The empirical chain established by Rageh (2026) is clear:
Transparency → Trust (β=0.730) → Commitment (β=0.525) → Online Engagement (β=0.413)
Brands that invest in visible, operational transparency see measurably higher conversion rates and customer retention than those that treat trust as implicit ("people will just see that we're legitimate"). Transparency must be designed into the customer experience at every touchpoint — it does not emerge from good intentions alone.
The Three-Dimensional Transparency Model (Rageh, 2026)
Dimension 1 — Clarity
Complete, accurate, and easy-to-understand information about products, pricing, policies, and the brand. The consumer must be able to answer five pre-purchase questions without contacting the business:
- What is this product or service, exactly?
- How much does it cost, including all fees and delivery?
- How will I receive it, and when?
- What happens if something goes wrong?
- Who is behind this brand — real people I can hold accountable?
A customer who cannot answer all five questions without a DM will abandon the purchase. Every unanswered question is a lost conversion.
Implementation actions by channel:
| Channel | Clarity Action |
|---|
| Website | Publish full pricing (or "starting from UGX X" with clear scope); return and refund policy; delivery timeframes; "About Us" page with real names, photos, and roles |
| Social media bio | Answer or link to the answers for all five questions; never require a DM to discover basic pricing |
| WhatsApp Business | Configure greeting message to provide immediate self-service options; update the product catalogue with current prices |
| Email | Include physical address, business registration number (if applicable), and an unsubscribe link in every email footer |
Dimension 2 — Openness
Interactive feedback mechanisms and permission-based data collection. Consumers must feel they have a voice, that the brand is listening, and that they have control over their own data.
Implementation actions:
- Actively solicit reviews — on Google Business Profile, Facebook, and sector-specific platforms. Ask for a review in every post-delivery or post-service message. Do not filter, hide, or selectively display reviews.
- Create visible feedback channels — a dedicated WhatsApp number or chat option for complaints, a review link in every post-purchase communication, and a monthly Q&A session on Instagram Stories or Facebook Live
- Permission-based data collection — never add a contact to a WhatsApp broadcast list or email list without explicit, informed consent. State clearly what data is collected, how it is stored, and how the subscriber can opt out.
- Respond to feedback publicly — acknowledge compliments publicly; acknowledge complaints publicly and offer to resolve them privately. Silence in response to public feedback signals indifference.
Dimension 3 — Objectivity
Displaying negative information alongside positive. This is the counterintuitive dimension: brands that show 3-star reviews alongside 5-star reviews are trusted more than brands that display only positive content. Rageh (2026) confirms that consumers interpret a perfect review record as evidence of manipulation or selective curation — not genuine quality.
The objectivity principle in practice:
| Element | Conventional Practice | Objectivity Standard |
|---|
| Review display | Feature only 4- and 5-star reviews | Display aggregate rating; include a sample of all ratings |
| Testimonials | Quote the most enthusiastic praise | Include one honest challenge or obstacle the client faced alongside the positive outcome |
| Case studies | Show only successful outcomes | Include a section on what was difficult and how it was resolved |
| Product descriptions | Highlight every benefit | Note limitations honestly — who the product is not suitable for |
| Negative reviews | Ignore or hide | Respond publicly within 24 hours with a specific resolution or acknowledgement |
Responding to negative reviews — protocol:
- Respond within 24 hours — publicly, on the platform where the review appeared
- Thank the reviewer for their feedback
- Acknowledge the specific issue without deflecting or blaming the customer
- Offer a specific resolution (not a generic apology)
- Move the detailed resolution to a private channel (WhatsApp or direct message)
- Follow up once the issue is resolved to confirm satisfaction
The Generational Trust Spectrum (Rageh, 2026)
Calibrate transparency practices to the generational profile of the primary audience. A single approach applied uniformly across generations will underperform.
| Generation | Trust Drivers | Transparency Calibration |
|---|
| Generation Z (born 1997–2012) | Brand activism; authentic values; peer reviews; creator endorsement | 73% expect brands to take positions on social and environmental issues; highly alert to performative transparency vs. genuine practice — back every stated value with visible action |
| Millennials (born 1981–1996) | Data control; co-creation; transparency about how data is used | Explain data use explicitly; invite input into product and content development; acknowledge mistakes openly |
| Generation X (born 1965–1980) | Institutional credibility; credentials; endorsements from recognised authorities | Display professional certifications, industry memberships, awards, and media coverage; name individual staff and their qualifications |
| Baby Boomers (born 1946–1964) | Personal service signals; traditional business ethics; conventional trust markers | Display physical address, landline telephone number, and named staff; written policies and guarantees; formal tone in all communications |
Where the client's audience spans multiple generations, apply the transparency practices of the most sceptical generation as the baseline.
Transparency Audit
Conduct a transparency audit before making recommendations. Do not assume transparency from the brand's self-presentation.
Audit checklist — Dimension 1 (Clarity):
Audit checklist — Dimension 2 (Openness):
Audit checklist — Dimension 3 (Objectivity):
Identify and record the specific transparency gaps before writing any recommendations.
Raw Marketing — The Five Rules of Authentic Brand Communication (Denny and Leinberger, 2020)
The Rageh model defines transparency as a structural quality. Denny and Leinberger (2020) identify a complementary behavioural dimension: Raw Marketing — the movement towards unscripted, unfiltered, human-first brand communication driven by a fundamental shift in consumer power. Since 67% of purchase decisions are now driven by consumer-initiated pull activity rather than brand-pushed messages (2019 data), brands must communicate in ways that feel real, not produced.
The five Raw Marketing rules operate as filters on all digital content decisions:
| Rule | What it means | Application |
|---|
| Seeking Control | Consumers demand control over how they encounter and interact with brands | Give audiences choice: long-form and short-form, video and text, read and listen. Forced-format communication feels invasive |
| Unscripted | Audiences detect and reject content that feels produced, polished, or PR-managed | Use real staff voices, real customer stories, real behind-the-scenes footage; a slightly imperfect video from a real person outperforms a glossy production from a faceless brand |
| In-Process | Consumers prefer to see work in progress, not only finished results | Document the journey as it happens: show the product being made, the problem being solved, the team in action; "here is what we are working on" outperforms "here is what we achieved" |
| In-Context | Authentic content is rooted in the real environment of the brand and its customers | Shoot in actual workplaces, not studios; use real customers in real settings, not models; reference real local conditions and challenges rather than aspirational imagery |
| Heroic Credibility | The highest form of brand trust comes from demonstrable, costly, values-aligned action | See below |
Heroic Credibility — the trust multiplier:
Heroic Credibility is the trust earned when a brand takes a position that costs it something: revenue, customers, convenience, or public approval. This is the highest form of brand authority and cannot be manufactured or faked. Examples of Heroic Credibility actions: publishing pricing openly when competitors hide it; openly acknowledging product limitations; writing an article that recommends competitors for certain use cases; declining a customer who is not the right fit; making an environmental or social commitment that affects profitability.
In the EA context: a business that publishes what competitors charge, identifies when it is not the right choice for a customer, and shows real job sites and real staff builds Heroic Credibility faster than any advertising investment.
Brand militancy failures: Brands that take political or social positions that divide rather than unite their audience risk severe commercial consequences. The test: is this a value the brand holds and lives, or is it a marketing position adopted for attention? Values that are lived generate loyalty. Values performed for attention generate backlash. Before any brand values communication, assess whether the position is backed by visible operational evidence — not just a social media post.
The C2B shift (Denny and Leinberger, 2020):
Consumer-to-Business (C2B) has replaced Business-to-Consumer (B2C) as the dominant dynamic. Consumers now control the buying process: they research independently, self-select, set the agenda for sales conversations, and share their experiences publicly regardless of brand preferences. Marketing strategy must begin from this reality — design for a buyer who is already 70% of the way through their decision before they make contact.
East African Regulatory Context
Uganda's Data Protection and Privacy Act 2019 and Kenya's Data Protection Act 2019 create legal obligations that align directly with this framework:
- Consent — personal data may only be collected and processed with informed, freely given, specific consent
- Data minimisation — collect only the data required for the stated purpose
- Breach notification — organisations must notify the relevant authority and affected individuals of a data breach within a defined period
Treating transparency as a legal compliance baseline undersells it — transparency is a revenue driver as well as a legal requirement. Present both arguments to the client.
Output: Digital Transparency Report
Generate the following for the client:
- Transparency audit results — completed checklists for all three dimensions with gaps identified
- Dimension 1 recommendations — specific Clarity actions per channel, with responsible party and deadline
- Dimension 2 recommendations — Openness mechanisms to configure, including review solicitation and feedback channel
- Dimension 3 recommendations — Objectivity standard applied to current testimonials, case studies, and review display
- Generational calibration note — which generation dominates the client's audience and how transparency practices should be weighted accordingly
- Regulatory compliance checklist — specific actions required to align with the applicable data protection legislation
- Review schedule — transparency audit to be repeated every six months; trust practices that are not maintained actively decay
Quality Criteria
Output meets the standard when:
- All three transparency dimensions are assessed for the client before any recommendations are written — gaps are documented, not assumed from brand presentation
- Clarity actions are implemented on all owned channels before any paid amplification begins — driving traffic to an unclear or untransparent channel wastes budget
- Openness mechanisms are configured and tested — review solicitation is operational, feedback channel is live, opt-in consent records are maintained
- Objectivity standard is applied — negative reviews are visible and publicly responded to; at least one testimonial or case study includes an honest friction element
- Transparency practices are calibrated to the generational profile of the primary audience — not applied uniformly without regard for audience expectations
- EA regulatory compliance gaps are flagged explicitly and resolved before any personal data is collected or processed for marketing purposes
- Transparency audit is scheduled for repetition every six months — trust practices are treated as an operational discipline, not a one-time setup task
Reference
Rageh, A. (Ed.) (2026) Ethical Marketing and Consumer Trust in Digital and Sustainable Markets. IGI Global.