What Avent users actually want
Mimir analyzed 11 public sources — app reviews, Reddit threads, forum posts — and surfaced 10 patterns with 7 actionable recommendations.
Top recommendation
AI-generated, ranked by impact and evidence strength
Build a comprehensive data governance dashboard with retention controls and audit logs
Rationale
16 sources report critical ambiguity around data retention timelines, model training practices, and third-party access. Current terms shift consent liability entirely to customers and provide no explicit retention timeline for voice and conversation data, creating compliance blockers for enterprise buyers. One source explicitly notes enterprise customers require granular data governance: enforcing permissions, managing policies, and controlling what data gets indexed by AI agents.
This is not a documentation problem — it is a product gap. Without transparent controls, prospects cannot pass security reviews or comply with GDPR/CCPA obligations for business conversations containing customer data. The product collects audio recordings and shares data with multiple third-party providers, yet users lack visibility into how long sensitive discussions are stored or which vendors process their data.
If you do not build this, enterprise deals will stall in legal review indefinitely. Mid-market customers will choose competitors with clearer data boundaries. Sales cycles will stretch from weeks to quarters as procurement teams demand custom DPAs for capabilities that should be standard product features.
More recommendations
6 additional recommendations generated from the same analysis
18 sources identify RFQ and quote automation as the core value delivery mechanism, but evidence shows sales reps miss customer requirements during calls due to manual note-taking limitations, and vague customer requirements lead to poor data-driven decision-making. The product already transcribes calls and generates draft quotes post-call, but does not intervene during the conversation when requirements are unclear.
9 sources report that tribal knowledge about pricing, business rules, and decision-making is fragmented across individuals and undocumented. One source states growth is constrained by hiring capacity because pricing knowledge is fragmented across inboxes and individuals. Another says pricing knowledge preservation is critical because when it lives in inboxes or heads, the organization becomes fragile.
9 sources identify inbox and inquiry management automation as a high-severity pain point. Evidence shows sales teams lose customer inquiries and lack visibility into patterns due to disorganized email across channels. The product already offers email classification, intelligent routing, and task extraction, but there is no indication these capabilities surface in a unified interface that allows bulk action or pattern recognition.
15 sources report order processing and ERP synchronization as high severity, with manual order entry being error-prone and time-consuming. The product already offers automated purchase order validation and entry directly into ERP systems with line-level visibility into extracted data before submission. However, evidence shows the FAQ structure includes questions about error handling, indicating customers care deeply about failure scenarios.
4 sources identify inventory visibility and alternative sourcing as high severity. Evidence shows that when requested items are unavailable, manual research for alternatives and vendor pricing creates delays. The product already offers real-time procurement to find in-stock alternatives or vendor pricing when items are unavailable, but there is no indication this happens proactively during quote generation.
1 source notes the platform depends on multiple third-party services with explicit disclaimers about availability and accuracy. This combines with evidence from 16 sources in the data privacy theme showing the product shares user information with multiple third-party service providers including cloud hosts, payment processors, and analytics tools. Users need greater transparency around service dependencies and their impact on core product reliability.
The full product behind this analysis
Mimir doesn't just analyze — it's a complete product management workflow from feedback to shipped feature.
Themes emerge from the noise.
Ranked by severity and frequency, with the original quotes inline so you can judge for yourself.
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What's the top churn signal?
Onboarding confusion appears in 12 of 16 sources. Users describe “not knowing where to start” [Interview #3, NPS]
A prioritized backlog, not a wall of sticky notes.
Ranked by impact and effort, with the reasoning you can actually defend in a roadmap review.
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