Case Study Evidence Standard
Purpose: Make customer stories trustworthy, consistent, and easy to publish. Buyers lean on social proof and real outcomes; research repeatedly shows people prefer evidence over slogans. See Google’s guidance on helpful, people-first content. The U.S. FTC updated its Endorsement Guides in 2023; follow them when you cite quotes, reviews, or performance claims. In B2B, trust remains concentrated in business as an institution, per Edelman’s 2024 Trust Barometer, which is an opportunity if you publish clear evidence.
1) What counts as evidence
- Quantitative outcomes: time saved, cost avoided, revenue influenced, adoption rate, error rate, uptime. Show period, baseline, and method.
- Operational proof: before/after workflow, SLAs, rollout time, seats deployed, data migrated.
- External validation: public reviews, certifications, and third-party benchmarks. Link to source. See FTC Q&A on claims in “What People Are Asking”.
- Attribution support: analytics screenshots or CRM snapshots that back the claim, with sensitive data redacted.
2) Metrics taxonomy
Use consistent metric families so stakeholders can compare stories.
- Efficiency: publishing lead time, cycle time, tickets per FTE, content shipped per quarter.
- Demand: non-brand search clicks, assisted conversions, demo requests from content paths.
- Reliability: uptime, incident count, MTTD/MTTR, regression rate post-release.
- Financial: CAC payback, pipeline influenced, ACV expansion, cost avoidance.
Define each metric once in your glossary, then reuse consistently. NN/g’s work on descriptive labels improving comprehension applies here; see Better Link Labels.
3) Claims policy
- Typicality: If the result is not typical, qualify it. FTC’s updated guidance on endorsements and “typical results” applies to case studies; review the FAQ.
- Verifiability: Link to a public source or include a method note on how you calculated the result.
- Dating: Add “Date measured” and “Date checked.” Refresh at least annually.
- Scope: Clarify environment and constraints (plan, region, data limits).
4) Permissions, names, and redaction
- Approval chain: champion → comms/PR → legal or brand owner.
- What you collect: logo use rights, quote approval, title conventions, product screenshots, metrics with dates.
- Redaction rules: remove PII, contract terms, and any security details; blur IDs; crop sensitive dashboards.
Keep signed approvals with the change log. If the company prefers “Global fintech” instead of the brand name, respect that and keep the evidence.
5) Story structure (reader-first)
- Context in 80–120 words: who they are, the job to be done, constraints.
- Problem: what was blocked and why it mattered now.
- Approach: how the team implemented the solution, timeline, stakeholders.
- Outcomes: 3–5 quantified results with method notes and dates.
- Proof panel: quotes, screenshots, certifications, and external links.
- Next steps: link to a solution or demo page and a related template.
6) Evidence formatting
- Method notes: one sentence per metric. Example: “Baseline was Q1 FY25; measured in GA4 using path exploration.”
- Footnotes: use short, numbered footnotes under the outcomes table to hold dates and sources.
- Callouts: one headline metric in a badge. Avoid star ratings unless you explain the scale and source.
7) Example outcomes block
| Outcome | Value | Method |
|---|---|---|
| Publishing cycle time | −38% | Median days from brief to live; JIRA exports, FY25 Q2–Q3 |
| Assisted demos from content | +24% | GA4 path exploration to “/demo/”; 90-day window |
| Non-brand search clicks | +31% | Google Search Console, content folder report |
Note: Google explains GA4 events and conversions in product docs. See events and conversions.
8) Review workflow and SLAs
- Draft: writer compiles outcomes and quotes, adds method notes, marks any redactions.
- Legal review: checks claims, permissions, and trademarks.
- Customer approval: final sign-off on names, numbers, and quotes.
- Publish QA: broken links, alt text, schema validation, responsive tables.
9) Schema and discoverability
Mark up as an Article and include an ItemList if you group multiple stories. Keep parity with visible content. Google’s structured data intro is here: Structured data.
10) Measurement
- Search Console: track clicks and CTR to “/customers/” or “/case-studies/.”
- GA4: event for “read_next” clicks from case studies to solution pages; assisted conversions from case-study entry sessions.
- Sales handoff: CRM note type “case study shared” and correlation with opportunity stage movement.
Demand Gen Report’s 2024 Content Preferences indicates buyers rate case studies, UGC, and reviews among the most helpful formats; see the PDF summary.
11) Acceptance checklist
- At least three outcomes with dates and method notes
- One named stakeholder quote or approved anonymous attribution
- Evidence links or screenshots for volatile facts
- Approval and logo rights stored with the change log
- Alt text, table headers, and link clarity (see NN/g on link labels)
- Schema validates, page loads well; aim for good Core Web Vitals as Google recommends in Search Central
12) Governance and refresh
Refresh high-traffic stories every six to twelve months. Update outcomes when product versions, pricing, or usage caps change. Record dateModified and keep the visible “Last updated” in sync.
