After completing this topic, you can create a Family, add members, and configure the alignment that makes cross-Run comparison meaningful.Documentation Index
Fetch the complete documentation index at: https://docs.siftstack.com/llms.txt
Use this file to discover all available pages before exploring further.
New to Families? Read the Overview to understand how members, alignments, statistics, and Rules work together before proceeding.
When to use this workflow
Use this workflow when you have a set of related Runs that represent a known-good or representative baseline and want to:- Compare new Runs against the historical spread visually in Explore
- Compute aggregate statistics across the group (mean, standard deviation, min/max)
- Build Rules that automatically flag when a new Run deviates from the group’s statistical envelope
Before you begin
- You have at least two Runs ingested into Sift.
- Your Sift account has the Editor role on the organization containing those Runs. See Manage user access.
Complete the workflow
Step 1: Create a Family
- On the Sift homepage, click Families.
- Click Create Family.
Step 2: Enter basic information
Fill in the following:- Family name: A human-readable identifier; for example,
Engine 5 Nominal Acceptance Tests. - Description (optional): What the Family represents and when to use it.
- Client key (optional): A unique identifier for use in external systems or APIs. This cannot be changed after it is set.
- Metadata (optional): Key-value pairs for tagging the Family with additional context, such as vehicle ID, test campaign, or configuration version. Metadata is searchable and filterable.
Step 3: Add members
In the Membership step, search for and add the Runs that represent your baseline. To add Runs individually:- Use the search field to find Runs by name or Asset.
- Click + on each Run to include it, or select multiple Runs and use Bulk Actions > Include in Family.
- Select the Run.
- Click − or use Bulk Actions > Exclude from Family.
- Optionally enter a rationale. The Run appears in the Excluded tab and is not counted in aggregate calculations.
Use a candidate query to find members automatically
A candidate query is a CEL expression evaluated against each Run. Runs that match appear in the Candidates tab, where you can bulk include or exclude them.- In the Membership step, click the Candidates tab.
- Click Add candidate query.
-
Enter a CEL expression. For example, to match Runs whose name contains
flightfor a specific Asset:Click Show CEL documentation in the editor for an inline syntax reference. To start from another Family’s query, click Import from existing Family and select the source Family; Sift populates the editor with that Family’s candidate query expression, which you can then modify. - Click Run Query to preview matching Runs.
- Select the Runs and apply Include or Exclude from Bulk Actions.
Step 4: Configure alignments
Alignments define how Runs are time-synchronized for comparison. Without an alignment, each Run’s time axis starts at its own absolute start time, making cross-Run comparison meaningless. Configure at least one alignment:- Run Start: T-0 is set to the beginning of each Run. Use this for Runs with a consistent structure.
- Run End: T-0 is set to the end of each Run.
- Timestamp: T-0 is a fixed absolute time; use this when all Runs pass through a known moment.
- Annotation: T-0 is set when a named event occurs in each Run, such as engine ignition or valve opening. Use this when the event of interest happens at different absolute times across Runs.
Step 5: Save the Family
Click Save. Sift creates the Family and records the initial state in version history.Verify the result
After saving:- The Family appears in the Families tab with a member count and the alignments you configured.
- Included members are listed under Family Members; excluded Runs appear under Excluded.
- If you set a candidate query, the Candidates tab shows Runs that currently match.
Next steps
- To overlay all members in Explore on a shared time axis, see Compare Runs visually against a Family baseline.
- To compute aggregate statistics and write Rules that flag deviations, see Detect statistical deviations using Family Rules.
- To add new Runs to the Family as they are ingested, see Manage Families.