InsightLeap Research · Confidential · Authorised access only
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Products database
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InsightLeap Research
Product-Aware Question Bank Generator
Select a financial product — PULSE retrieves its full profile and generates intelligence-grounded survey instruments automatically.
100
Products in DB
0
Surveys generated
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Corrections logged
RAG
Context-grounded
Step 1 — Select research subject
Routing questionnaire will be generated.
The questionnaire will include a relationship mapping question with the full institution list as answer options. Based on the respondent's selection, separate follow-up question blocks will be generated per institution — so analysis is distinct for each brand.
Risk scaleLow — capital largely preserved, minimal volatilityModerate — some price fluctuation, medium-term horizonHigh — significant volatility, long-term horizon requiredVery High — extreme volatility or illiquidity, experienced investors only
Behavioural drivers
Common objections
RAG ActiveLoading product context and similar survey history...
Step 2 — Configure survey instrument
Analysing product profile...
Add Custom Question×
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Probe / follow-up (optional)
PULSE · InsightLeap Research · Question bank grounded in product intelligence and correction history. Not for distribution without InsightLeap's written consent.
Product Intelligence Database
100 financial products with full structured profiles — the grounding layer for all questionnaire generation.
50
Total products
12
Fields per product
13
Asset categories
Risk scaleLow — capital largely preserved, minimal volatilityModerate — some price fluctuation, medium-term horizonHigh — significant volatility, long-term horizon requiredVery High — extreme volatility or illiquidity, experienced investors only
Learning Dataset
Every correction logged by the research team becomes a training signal — building InsightLeap's proprietary intelligence over time.
0
Corrections logged
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Unique correction tags
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Products with corrections
No corrections logged yet. Generate a question bank and flag corrections to build the learning dataset.
Prompt optimisation
Run Claude Reasoner to analyse all correction tags and rewrite the master prompt automatically.
Research Intelligence Analytics
Click any project to analyse responses, run crosstabs and build reports.
0
Active projects
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Surveys generated
0
Total responses
0
Corrections logged
Active projects
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Platform intelligence
Surveys by product categoryTop correction tagsRecurring investor objections
Survey title
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ROWCOLFILTER
Select a variable from the left sidebar to begin analysis.
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InsightLeap Research
Flag correction
Tag what needs to change. This becomes a structured learning signal for future generation.