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Build only what wins

From idea to growth, Aver talks to real and AI-generated users to deliver continuous product intelligence — from validating and refining the idea to turning feedback into a prioritized roadmap once you launch. No more guesswork, only data-driven certainty.

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Most products fail. Yours doesn't have to.

42%

of startups fail due to no market need

64%

of features are rarely or never used

100×

more costly to fix after launch

From idea to growth, Aver is with you all the way.

1

Pre‑Launch: Validate what to build

  • • Market size & growth analysis
  • • Understand user pains from 1,000s of real conversations
  • • AI-led interviews with real and AI-generated users
  • • Competitive gap & pricing benchmarks

What you get:

Validation Score + Go/No-Go Decision

2

Post‑Launch: Turn user feedback into growth

  • • Unified feedback from reviews, support, in‑app and real + AI-generated user interviews
  • • Feature requests scored by impact and effort
  • • Cohort analysis to figure out churn drivers and at‑risk segments
  • • Simulate responses to proposed fixes and run follow‑up interviews

What you get:

Priority Roadmap + Retention Insights

Meet the AI agents

Market Intelligence

Sizes TAM/SAM, maps trends and growth

Conversation Mining

Extracts pains from Reddit, Discord, forums

Competitive Intel

Compares features, pricing, and gaps

Interview Agent

Runs AI‑led interviews with smart follow‑ups

AI-generated Users

Stress‑test concepts with AI-generated users

Feedback & Sentiment

Pulls post‑launch signals from users in real time

See the insights we deliver

Example: Developer Tools Company (anonymized)
87%
Validation Score
Strong signal to build
Market Intelligence Conversation Mining Competitive Intel Interview Agent Persona Simulator Feedback & Sentiment
Top user pains
  • Context switching across 10+ tools breaks flow
  • Onboarding takes too long to first value
  • Collaboration is fragmented across channels
Validated opportunity

A unified developer workspace that consolidates essential tools with AI assistance. Strong willingness to pay indicated in interviews and mining results.

Recommended MVP
  • Integrated editor + terminal
  • Context-aware AI assistant
  • Project setup templates

Defer social features (low confidence)

Post‑launch feedback
  • • “Command palette is confusing” — onboarding friction spike last week
  • • “Dark mode please” — feature request demand score: 0.89
  • • “Docs are out of date” — sentiment dip tied to release v0.9.2
Outcome
Roadmap (Week 12): Fix onboarding → Ship dark mode → Refresh docs
Data sources: Reviews, support tickets, in‑app feedback

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