Examine the approach
Examine the objective, scope and proposed approach. Use your scientific criteria to shape the task before taking the assessment forward.
Complete more scientific work for your team’s next decision.
Causaly Work combines data analysis, evidence investigation, and scientific outputs into one connected task. It plans the methods and runs every step in the open, while your team sets the direction, challenges the findings, and guides what happens next.
How Causaly Work helps
From question to finished work.
Describe the task and attach your data. Work plans the methods, runs the analysis, reads the results against scientific evidence and delivers outputs your team can review, with every step open to inspect and challenge.
More capacity for your team
More work done.
More time for scientific judgment.
Bring a scientific question and your inputs. These examples show what your team can move forward with Causaly Work.
The difference it makes
One connected task.
More time for the science.
Work carries forward
Data analysis
Evidence investigation
Comparisons
Your experts focus on
Challenge the interpretation.
Explore the alternatives.
Guide the next decision.
Your expertise, throughout
Set the direction.
Challenge the work.
Shape the task as it develops. Examine the approach, challenge the interpretation and refine the work around the questions that matter to your team.
Grounded in
Scientific evidence
Biological context
Expert judgment
Analysis plan
AD inhibition target prioritization
Task
Rank candidate targets against the supplied scientific criteria.
Objective
Assess the translational support for the candidates.
Inputs & context
Gene-expression data, atopic dermatitis and relevant comparison groups.
Evidence limits
Record missing support. Avoid filling evidence gaps with assumptions.
Challenge the interpretation
Question the initial findings, introduce biological context or ask Work to investigate an alternative explanation. Use that discussion to refine the assessment.
Keep open questions visible
Examine missing evidence and unresolved assumptions alongside the findings. Decide where further investigation or validation is needed.
Carry the work into your next decision
From scientific analysis
to shared understanding.
Continue from investigation to outputs your team can inspect and discuss, with the scope and reasoning alongside the findings.
View full screenshot
Dashboard
Make comparisons visible.
Bring candidate rankings and comparisons into one view so your team can examine the findings and discuss the evidence behind them.
View full screenshot
PowerPoint
Bring the rationale into the room.
Create a presentation of the scientific question, assessment and rationale for your team to review and refine.
View full screenshot
Scientific report
Keep the reasoning with the result.
Create a scientific report that brings the scope, findings, reasoning and qualifications together for expert review.
Supporting files
Everything behind the work stays with it.
The plan, inputs and supporting files stay alongside the outputs, so anyone reviewing the work can trace how it was done.
Product screenshots show separate example versions, not a single validated result. Rankings differ between views; validation status is shown in the screenshots.
FAQs
Which scientific tasks are best suited to Causaly Work?
Tasks that combine data analysis, evidence investigation and scientific interpretation, such as target assessment or biomarker trial comparisons. Start with a defined question, relevant inputs and clear scientific criteria.
How can my team inspect and challenge the work?
Scientists can examine the approach, challenge assumptions and investigate alternative explanations throughout the task. Your team guides the work and retains responsibility for scientific decisions.
What deliverables can Work create?
Reports, presentations or dashboards that bring together the findings, supporting evidence and reasoning. The scope, qualifications and open questions remain visible for expert review.
When should we use Work rather than another Causaly product?
Use Work when a task spans data analysis, evidence investigation and deliverable creation. Research helps investigate scientific questions, while Scientific Workflows apply established methods to recurring tasks.
Find your first task
What could your team
move forward next?
Explore how Work could support one of your team’s scientific tasks. Bring a question, available inputs and the criteria that matter.
Request a demo