Articles & blogs
What makes writing good?
Explore what makes articles and blogs valuable to readers. Work with us to study how people engage with writing, what they find useful and what keeps them reading.
Discuss a writing partnershipENVIRONMENTS / TASKS
Writing that serves more people.
A starting point for designing experiments with your team. Together, we explore how writing can become more useful across readers and contexts.
Explore a partnershipClarity & understanding
What helps people understand?
Study how writing communicates an idea across different levels of familiarity. Combine reader feedback with reading behavior to explore clarity, structure and understanding.
Discuss a writing partnershipWriting for more people
What resonates across contexts?
Explore how useful writing travels across audiences, languages and contexts. Build a partnership around the questions that matter to your team and the people you want to serve.
Discuss a writing partnershipModel outputs
Bring writing and an open question about how it could serve readers better. Compare variations in style, structure and presentation to learn which approaches resonate with real people.
Real audiences
Reach people across languages and contexts. Explore how people read, engage with and respond to model-generated writing. Shared audience contexts and measurement definitions help teams interpret differences in behavior across variants and turn individual actions into aggregate feedback.
Behavioral rewards
Read time, engagement, completion and sharing help teams understand reader behavior where tracking is configured. Direct reader feedback can add context where collected. Together, these signals inform evaluation and learning without reducing useful writing to a single metric.
FROM FEEDBACK TO LEARNING
Define the question and what a meaningful comparison looks like. Keep the underlying content and comparison conditions consistent where possible.
Bring the measurements into your evaluation or training workflow, alongside your existing quality checks. Test whether improvements generalize before deciding what to optimize next.