Translating Complex Science into Campaigns Stakeholders Share

Great scientific campaigns start with disciplined story mining—long before design or distribution.

1 / Source and qualify raw inputs

Collect publications, internal decks, lab notes, interviews with SMEs, customer use cases.

Filter with three criteria: audience relevance, novelty, proof strength.

2 / Convert evidence into narrative pillars

Group validated inputs into 3–4 repeatable pillars (e.g., Clinical Impact, Workflow Efficiency, Economic Value).

Each pillar gets: core claim, supporting data points, visual metaphor idea, risk/limitations note.

3 / Asset cascade design

Map one master asset → derivative formats.

| Master | Derivatives | | ---------- | -------------------------------------------------------- | | Whitepaper | Explainer blog, infographic, webinar deck, social thread | | Case Study | Testimonial snippets, ROI summary, sales one-pager |

4 / Accuracy vs accessibility balance

Institute dual review: scientific accuracy first, plain-language pass second. Track reading grade level. Maintain a glossary.

5 / Distribution choreography

Stage releases: teaser insight → pillar explainer → deep dive → social atomisation → webinar / event.

Metrics by layer: pillar awareness, asset completion rate, assisted conversions, influenced opportunities.

Retire pillars that lose differentiation; promote emerging validated themes.

Next: Book a scientific storytelling session to identify your initial pillars.