Introduction to the Startup Assessments
The Assessment feature in AcceleratorApp provides administrators and mentors with detailed, visual insights into a startup's historical performance and developmental progress. This module aggregates quantitative and qualitative data collected from application reviews and coaching session evaluation forms to dynamically generate comprehensive charts and data tables.
By centralizing these data streams, the system maps performance trajectories over time, helping tracking entities pinpoint precise organizational strengths, diagnose operational bottlenecks, and make data-driven adjustments to cohort support strategies.
This feature is available in Essential Bundle or Tier 2 Program Module
Where to Find Startup Assessments
To access a startup's assessments metrics, you must navigate into their individual profile within the platform portfolio.
Step-by-Step
1. Select Startup from the Main Menu
Click on the Startup option located in the top menu to open your startup portfolio list.
2. Open the Individual Startup File
Locate the specific startup from your active portfolio list and click to view their full profile Startup File.
3. Open the Assessment Dashboard
Click on the Assessment tab located in the left-hand navigation panel of the Startup File.
4. Review the Performance Overview Metrics
Click the Performance Overview tab to view the startup's cumulative Overall Health score, cross-reference their three most recent scores on the visual Radar Chart, and analyze score variations over time using the Criteria Breakdown.
5. Filter Topic-Specific Coaching Graphs
Click the Overview tab to see visual graphs of coaching session topic scores, and click the filter icon to explicitly include or exclude specific topics from your analytical view.
6. Inspect Itemized Evaluation Logs
Click the Evaluations tab to display a full historic table of all program assessments, and click directly on any individual row to expand specific criteria grading scales, raw score aggregates, and qualitative evaluator feedback.
Best Practices
Leverage Trends for Strategic Decisions: Analyze visual trajectories over multiple months rather than reacting to single points of data to correctly customize your program's targeted intervention support.
Synthesize Qualitative Data: Always expand the individual evaluation rows to read raw evaluator remarks, ensuring quantitative score drops are contextualized by specific mentor feedback.
Keep Your Taxonomy Consistent: Ensure evaluation parameters across application forms and coaching logs use matching criteria models to build highly accurate radar charts over long periods.