What o11 users actually want
Mimir analyzed 15 public sources — app reviews, Reddit threads, forum posts — and surfaced 12 patterns with 7 actionable recommendations.
Top recommendation
AI-generated, ranked by impact and evidence strength
Build dedicated Excel-to-PowerPoint automation that detects model changes and auto-updates linked charts without breaking references
Rationale
17 sources confirm native M365 integration is the core differentiator, and 5 sources explicitly cite the Excel-PowerPoint 'copy-paste crisis' as a workflow blocker causing late-night manual reconciliation work and data integrity issues. One user describes working at 2 AM to manually sync broken chart links. This isn't just an inconvenience — it's a failure point in high-stakes financial presentations where stale data can derail deals or misrepresent portfolio performance.
The current workflow forces users to choose between brittle native Excel links that break on model updates or manual copy-paste that introduces errors and wastes hours. Building intelligent automation that tracks source model changes and propagates updates to PowerPoint while preserving formatting and references directly solves the productivity loss that undermines the 'no workflow changes' positioning.
This recommendation delivers measurable ROI for the PE and wealth management segments (themes 1 and 2) who produce investment committee memos and client presentations daily. If you don't build this, users will continue leaking hours to manual reconciliation, and competitors offering spreadsheet-to-deck workflows will erode the native integration advantage.
More recommendations
6 additional recommendations generated from the same analysis
15 sources describe segment-specific automation needs, with PE due diligence emerging as the highest-signal vertical. Users explicitly describe missing red flags in data rooms due to manual review constraints, and 8 sources document the pain of processing 100+ documents per deal. The product is already positioned as 'the first AI platform built for the buy-side workflow,' but the generic tooling doesn't yet operationalize this promise into turnkey automation.
Wealth management workflows show strong vertical alignment (theme 1) with explicit demand for automated meeting prep, CRM integration, and personalized client communications at scale. Advisors describe needing to serve more clients with hyper-personalized attention, but current tools require manual aggregation of portfolio data, news, and life events before each meeting. This prep work is repetitive, time-intensive, and prevents advisors from scaling their client base.
14 sources describe demand for advanced Excel automation including formula generation, model auditing, and data cleaning. Financial analysts and PE practitioners rely on inherited Excel models with opaque logic and fragile references that break during collaborative editing. Current tools force users to manually trace precedents and audit formulas, which is error-prone and time-consuming when models span hundreds of cells with nested functions.
9 sources explicitly cite enterprise security, compliance, and data residency as table-stakes requirements for capital markets and institutional buyers. Customers include regulated entities like Wells Fargo and Bank of America who cannot adopt SaaS tools without SOC 2 certification, full audit logs, SSO integration, and options for private cloud or on-premises deployment. The product already commits to not sharing M365 data with third parties, but lacks the formal compliance certification and deployment flexibility that enterprise procurement requires.
4 sources describe demand for long-form document drafting with full citations and source navigation, distinguishing o11 from generic ChatGPT through domain-specific knowledge integration. Legal teams, consultants, and analysts drafting investment memos need AI-generated content to reference exact source documents and maintain audit trails, but current tools produce generic outputs without verifiable citations. This creates compliance risk and forces manual fact-checking that negates productivity gains.
14 sources describe PowerPoint automation needs, with explicit demand for mass automation of large presentations distinguishing o11 from design-first competitors. Users describe inheriting 'Frankendecks' with inconsistent formatting, misaligned objects, and outdated charts that require hours of manual cleanup before client presentations. The product already generates slides from outlines, but doesn't yet provide the batch processing capabilities that enterprise users need for maintaining presentation libraries.
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.
Talk to your research.
Ask questions, get answers grounded in what your users actually said.
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.
PRDs, briefs, emails — on demand.
Generate documents that reference your actual research, not generic templates.
Paste, upload, or connect.
Transcripts, CSVs, PDFs, screenshots, Slack, URLs.
This analysis used public data only. Imagine what Mimir finds with your customer interviews and product analytics.
Try with your data