Methodology

Let’s design your large-scale
content creation platform

Discover our unique methodology of building a large-scale content creation platform, combining AI and human intelligence to boost your global performance.

2-5 WEEKS

Step 1: think

Understand the content ecosystem

  • Map current content workflow, existing tech ecosystem, and performance measurement
  • Gather content info: touchpoints, volume, geographic targets, brand, industry requirements
  • Recognize company culture: decentralized vs. centralized, subsidiaries/distributors, values, ways of working

Set up performance evaluation

  • Define priorities: consistency, pixel perfect, time to market, costs, workload
  • Define KPIs by priority
  • Establish a KPI data collection method

Identify challenges

  • Plot pain points of existing content ecosystem (workflow, tech, performance metrics)
  • Identify ways to improve

Design a targeted content platform

  • Create the ideal workflow
  • Define where tech & humans are relevant
  • Check profitability: value earned vs. spend
2-3 WEEKS

Step 2: Shape

Integrate tech solutions

  • Select tech providers
  • Validate solution costs
  • Integrate tech solutions

Build teams of experts

  • Cultural (native linguist verification)
  • Technical (management, optimization)
  • Production (semantic/visual/audio creation/adaptation)
  • Delivery (coordination, integration)

Create a functional platform

  • Define content Responsible, Accountable, Consulted, and Informed (RACI)
  • Design change management framework

Build a performance studio

  • Aggregate KPIs in a data visualization tool
  • Global and local overview
Ongoing

Step 3: Deliver

Launch pilot platform

  • Train and inform
  • Launch full content platform
  • Establish iterative improvement cycle

Analyze and optimize platform

  • Monitor KPIs
  • Revisit pain points and business objectives
  • Identify and implement improvements

Launch platform at scale

  • Maximize performance at scale
  • Continuously optimize process

our
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