- Faster Paths to Insight Through Better Clarifying Questions
- Improved Boolean Search Generation
- Clearer Charts and More Useful Analytical Explanations
(Period covered: Improvements delivered over the last four weeks)
Overview of updates
This release focuses on three themes:
Reducing interruptions during analysis,
Improving search strategy generation,
Making analytical outputs easier to interpret.
The updates help users start common patent analysis workflows with fewer clarification steps, generate more focused Boolean searches, and better understand the charts, metrics, and explanations returned by Protégé.
Most impactful for:
Patent analysis workflows: fewer clarification steps
Technology search and landscaping: more focused Boolean search generation
Portfolio analysis and reporting: clearer charts and explanations
Faster Paths to Insight Through Better Clarifying Questions
What has changed?
Protégé now asks fewer clarification questions and is more likely to proceed when reasonable assumptions can be made from the available information. It is also better able to recognise when clarification is still required, when requests are ambiguous, and when a requested action falls outside supported capabilities.
Why it matters
Many patent intelligence workflows begin with incomplete information. By reducing unnecessary clarification steps, analysts can reach analytical outcomes more quickly while retaining visibility into the assumptions used.
Analytical behaviour
Protégé is more likely to proceed when reasonable assumptions can be made
Assumptions are communicated as part of the response
Clarification remains in place when missing information would materially affect analytical outcome
Greater transparency when requested actions cannot be completed
Communication of supported alternatives when a question falls outside current capabilities
Constraints and implications
Clarification questions have not been removed entirely. They continue to be used when essential information is missing, when user intent remains ambiguous, or when proceeding would create a significant risk of misunderstanding the request.
When Protégé cannot reliably perform a requested action, the response is more likely to communicate limitations and propose supported alternatives.
Example
An analyst requesting a broad technology landscape can now receive an initial landscape analysis directly, including clearly communicated assumptions and limitations.
The response also suggests next steps to further segment and refine the broad technology landscape.
Improved Boolean Search Generation
What has changed?
Protégé now generates improved and more consistent Boolean search strategies. Improvements to concept selection, classification usage, and search construction help create more reproducible technology searches and provide greater visibility into how search scopes are defined.
Why it matters
Boolean search generation underpins many patent intelligence workflows, including technology landscaping, competitor identification, portfolio benchmarking, and trend analysis. More consistent search construction helps analysts better understand, trust, and reproduce analytical results.
Analytical behaviour
Improved selection and organisation of concepts used within generated search strategies
Enhanced use of CPC and IPC codes
Greater transparency into the concepts, classifications and search scope used to define analytical results
Constraints and implications
Search quality continues to depend on the quality and specificity of the original question. Analysts should review generated searches when working in highly specialised technologies or narrow technical domains.
Example
An analyst exploring the nuclear waste management technology landscape is now more likely to receive a focused search strategy aligned with storage, containment, disposal, and decommissioning technologies - reducing retrieval of unrelated energy or power generation results.
Clearer Charts and More Useful Analytical Explanations
What has changed?
Protégé now provides clearer chart visualisations and richer analytical explanations. Improvements across chart presentation, metric interpretation, technology cluster handling, and numerical formatting help users understand results more quickly and communicate findings with greater confidence.
Why it matters
Charts are frequently used to communicate patent intelligence insights to stakeholders. Clear visualisations and concise explanations reduce interpretation effort and help analysts understand the significance of observed trends, differences, and patterns.
Analytical behaviour
More effective use of Technology Cluster hierarchies during portfolio analysis
Improved interpretation of key patent metrics, including Patent Asset Index, Competitive Impact, Technology Relevance, and Portfolio Size
Enhanced chart colour assignment, legend and readability
Better alignment between chart content and accompanying insights
More consistent analytical explanations
Markdown and cleaner numerical formatting for improved readability
Constraints and implications
Analytical interpretations remain depending on the selected scope, available data, and underlying search strategy. Visualisations should be interpreted together with the supporting explanation and analytical context.
Example
A competitive benchmarking analysis now provides clearer chart presentation and colouring, richer explanations of key patent metrics, and more direct commentary explaining differences in portfolio size, technology relevance, and competitive impact across owners.