Civil Executive suggests improved user interface and onboarding for new associates
What happened
A Civil Executive at a mid-market company points out that the user interface needs improvement, especially for new associates. They suggest a better interactive onboarding tour to help users effectively utilize advanced features, indicating a learning curve for the product and potential for delayed adoption.
Source
From the reviews
- 4.5 of 5
“There are some areas where it needs improvement like the user interface. Enhancing it, especially by having a better interactive onboarding tour for associates, would help everyone effectively use its advanced features. Another issue is the latency of the Vault function. Although it can handle a large amount of documents, it takes more time than usual, causing delays in filtering and categorizing.”
Tharun P., Civil ExecutiveAug 27, 2026View
Extracted by Autobound
From the Signal API record- Signal
- Usability issues
What this signalsReview themes often show where customers may look for an alternative.
- Product
- Harvey AI
- Star rating
- 4.5 of 5
- Reviewer
- Tharun P.
- Reviewer details
- Civil Executive
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The full record
From the Signal API recordDetails
- Reviewer role
- Civil Executive (decision maker)
Topics and mentions
Competitors named
- iManage
Extraction
- Detected
- Sep 14, 2026
- signal_type
product-reviews- signal_subtype
UsabilityIssues
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The API returns more than this page shows
This page shows a preview. The full product-reviews record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the API
Signal
signal_nameValue in the APIassociationValue in the API
Show the full JSONHide the full JSONThe record on this page and the API request
GET /v1/signals/23c880a4-adc0-4bb1-9b70-f1338e11af39 returns this record as JSON. POST /v1/companies/enrich returns every signal for harvey.ai.
{
"signal_id": "23c880a4-adc0-4bb1-9b70-f1338e11af39",
"signal_type": "product-reviews",
"signal_subtype": "UsabilityIssues",
"detected_at": "2026-09-14T09:23:47.777+00:00",
"company": {
"name": "Harvey",
"domain": "harvey.ai"
},
"data": {
"summary": "A Civil Executive at a mid-market company points out that the user interface needs improvement, especially for new associates. They suggest a better interactive onboarding tour to help users effectively utilize advanced features, indicating a learning curve for the product and potential for delayed adoption.",
"evidence": [
{
"quote": "There are some areas where it needs improvement like the user interface. Enhancing it, especially by having a better interactive onboarding tour for associates, would help everyone effectively use its advanced features. Another issue is the latency of the Vault function. Although it can handle a large amount of documents, it takes more time than usual, causing delays in filtering and categorizing.",
"review_url": "https://www.g2.com/products/harvey-ai/reviews#review-13367704",
"review_date": "2026-08-27",
"star_rating": 4.5,
"reviewer_name": "Tharun P.",
"reviewer_title": "Civil Executive"
}
],
"headline": "Civil Executive suggests improved user interface and onboarding for new associates",
"relevance": 65,
"product_name": "Harvey AI",
"source_page_url": "https://www.g2.com/products/harvey-ai/reviews/reviews",
"switching_intent": {
"urgency": "none",
"detected": false
},
"quantified_impact": {
"has_numbers": false
},
"competitors_mentioned": [
"iManage"
],
"decision_maker_complaint": {
"title": "Civil Executive",
"is_decision_maker": true
}
}
}
curl https://signals.autobound.ai/v1/signals/23c880a4-adc0-4bb1-9b70-f1338e11af39 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"harvey.ai","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.