Aldermere Group: Research, Discovery & Audit Synthesis Framework
Aldermere Group is a constructed worked example, built to demonstrate senior content strategy practice end-to-end across a composable CMS transformation. The client name and engagement specifics are fictitious. The methodology, the five-question synthesis framework, and every analytical decision described here are drawn from real engagements across enterprise content strategy and digital transformation.
The brief
Phase 1 of the Aldermere engagement opened with a structured discovery programme: seventeen stakeholder interviews across the influence-interest spectrum, a quantitative content audit of approximately thirty digital properties across four sub-brands and ten markets, and a technical stack review of the legacy CMS estate.
The objective was not to produce an inventory. It was to produce a synthesis: a structured, prioritised set of findings tied directly to actionable recommendations, each anchored to the commercial objective of moving to a unified composable content layer on Contentful.
The distinction matters: A weak audit produces an inventory that gets read once. A strong one produces a synthesis that drives every downstream decision in the programme.
The five question framework
Every finding from the discovery programme lands in one of five buckets. The discipline forces the work to stay useful: recommendations have to be actionable rather than aspirational, and anchored to the client's real objectives rather than to best practice in the abstract.
Thirty findings were produced across the Aldermere estate. Fifteen prioritised recommendations were derived from the synthesis, each tied to a specific finding or cluster of findings and mapped to the programme phase in which it would be addressed.
The method layers
Each finding is tagged with the method layer that produced it. This matters because the strength of a recommendation depends partly on how it was evidenced. A finding produced by automated analysis alone warrants a different level of confidence than one corroborated across qualitative interviews and strategic assessment.
Automated: crawl data, accessibility scan, redirect audit, performance metrics, content inventory. Fast, scalable, surfaces structural and technical issues at volume.
Qualitative: stakeholder interviews, editorial team conversations, content creator observations. Surfaces the organisational, cultural, and process issues that automated tools cannot see.
Strategic: competitive analysis, regulatory review, audience research, benchmarking. Surfaces the gaps between where the estate is and where it needs to be against commercial and market context.
Mixed: findings where automated data and qualitative evidence corroborate each other. The highest-confidence findings. When the crawl data and the editorial team interviews are telling the same story, the recommendation is on solid ground.
The EU Green Claims Directive compliance gap, for example, is a mixed-method finding: the automated audit found no structured sustainability claim fields across any brand, and the stakeholder interviews confirmed that sustainability claims were being written as freeform marketing copy with no verification or governance process. Two independent methods pointing at the same gap.
How findings thread into the programme
The discovery synthesis is not a standalone deliverable. It is the foundation that every subsequent discipline builds on. Four examples of how specific findings thread directly into content modelling, taxonomy, governance, and migration:
This threading is what distinguishes a discovery synthesis from an audit report. The findings do not sit in a document that gets filed after phase 1. They drive decisions in every subsequent workstream. The modelling decisions log references audit findings. The governance compliance register references audit findings. The migration triage references audit findings. The synthesis is the connective tissue of the engagement.
Discovery is not research. It is the structured translation of evidence into decisions. The quality of every downstream decision in the programme depends on the quality of this translation.
The stakeholder interview programme
Seventeen stakeholder interviews were conducted across the influence-interest spectrum. The interview programme was designed to surface three things that automated auditing cannot reach: organisational context, political dynamics, and the gap between stated priorities and actual working practice.
Each interview followed a structured guide but was conducted conversationally, with probing questions designed to surface what is not being said as much as what is. The interviews covered:
What is working in the current content estate and why
What is frustrating or broken and where the pain sits
What stakeholders wish they could do that the current system prevents
How content decisions are currently made and where they stall
What success looks like at the end of the programme
The stakeholder map produced in parallel with the interviews shaped the interview sequencing: high-influence, high-interest stakeholders first, to establish the strategic frame before the operational detail. Brand directors interviewed separately from regional marketing leads, to surface the tension between central brand standards and local market adaptation before either group knew what the other had said.
What the synthesis produced
The discovery synthesis workbook runs to five sheets: Method (approach, techniques, method layer definitions), Findings Log (thirty findings with method layer, bucket, confidence level, and source attribution), Synthesis (the structured five-bucket analysis), Recommendations (fifteen prioritised recommendations with finding references, programme phase, and owner), and Method Reference (a reference sheet for the audit techniques used, reusable on future engagements).
The fifteen recommendations cover the full range from immediate quick wins (fix the alt text gap before migration, it is a validation criterion) to structural programme decisions (establish the Taxonomy Governance Group in phase 1, not phase 2, because taxonomy decisions made without governance create debt that migration has to manage) to strategic reframes (the multi-channel publishing capability Aldermere wants cannot be built on page-shaped content; the content model has to be designed as channel-agnostic structured data from the outset).
The Aldermere Discovery Synthesis PDF is available for download.
