Article summary: A busy workday is significantly easier when you can locate the right information without too much fuss. Whether you are looking for a colleague’s contact details, the latest HR policy, or an upcoming event, Speakap’s search engine is built to do the heavy lifting for you. This guide outlines where to search, the difference between instant suggestions and full searches, and how the platform ranks your results.
1. Where to Search
Speakap provides both global and localized entry points to help you query your network:
- Global Search Bar (Web): Accessible directly at the top of your screen.
- Global Search Bar (Mobile): Accessible by tapping the search icon in the top-right corner of the app interface.
- Localized Search Filters: Beyond the global bar, you can find standalone search tools embedded directly within your News, Files, and Events lists to help you quickly filter through long indexes of content.
2. Instant Suggestions vs. Full Search
As you begin typing into the global search bar, a "Suggest" box will automatically pop up beneath your cursor. It is important to know that instant suggestions and full searches operate under entirely different mechanics:
- Suggestions: These act as rapid shortcuts optimized entirely for speed. They focus exclusively on indexing News, Polls, Events, Users, and Groups. Crucially, suggestions only scan titles; if your target keyword is buried deep within the body text of an article, it will not surface here.
- Full Search: When you physically press Enter or tap the search command, the system executes a deep analysis across all content types, including Updates and Files, to deliver a comprehensive set of relevant results.
3. How the Search Engine Ranks Results
When you trigger a full search, the engine utilizes a multi-layered relevancy algorithm to determine exactly what you are looking for. Results are ordered based on the following prioritization rules:
- Title Prioritization: The system looks at titles first. If your search term appears directly in the title of a document, post, or file, it is automatically pushed to the top of your results list.
- Recency Bias: The system inherently values what is new. For example, you likely need the current holiday schedule rather than an archived copy from several years ago. The engine automatically surfaces newer posts first and lets older entries fade into the background.
- Keyword Rarity: The system evaluates specific, unique words. Searching for a common word like "Policy" will return a massive volume of hits. However, if you input a rare or specific term like "Bereavement", the algorithm flags it as high-value and prioritizes those exact matching files.
- Word Frequency: The more a keyword appears within a document, the higher that content will rank. Note that this frequency boost applies only to meaningful terms; common functional words (such as "the" or "and") do not receive a ranking lift.
- Proximity Grouping: If you search for a multi-word phrase like "Running Event", the algorithm actively scans for items where those specific words are clustered close together in the text, even if they are separated by a few minor words.
4. Advanced Search Rules & Syntax Shortcuts
To refine your results further or speed up your workflow, keep these behaviors in mind:
Pro Tip — The Plus Sign (+): Using a plus sign between search terms (e.g., product+roadmap) acts as an exact-match "glue". The search engine will strictly return results where those exact words are touching each other.
- Typo Tolerance: If you are in a rush and misspell a word (such as typing "Vacaton" instead of "Vacation"), you don't need to worry. The system is smart enough to automatically recognize the underlying intent and deliver the correct results anyway.
- Partial Word Matching: You can locate content by typing in incomplete words (such as searching "prod" to find "product"). However, this partial matching capability only works if the keyword appears inside a Title. If a partial word is located inside a timeline update body, the search engine will not find it.