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What Diald users actually want

Mimir analyzed 15 public sources — app reviews, Reddit threads, forum posts — and surfaced 15 patterns with 8 actionable recommendations.

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sources analyzed
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signals extracted
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themes discovered
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recommendations

Top recommendation

AI-generated, ranked by impact and evidence strength

#1 recommendation

Build a unified alert engine with granular geographic and event-type filtering, delivering push notifications and daily digest emails tailored to each user's property portfolio and investment focus

High impactLarge effort

Rationale

23 sources demand personalized alerts and customizable information delivery, making this the highest-frequency theme in the dataset. Users explicitly request real-time notifications for critical developments (regulatory changes, construction projects, market shifts) filtered by market area, property location, and transaction type. Multiple sources emphasize the need for both immediate push alerts and daily email summaries, suggesting users want control over notification cadence.

This capability directly enables the core value proposition of saving analyst hours. Without intelligent filtering, users either miss critical information or drown in noise, forcing them back into manual research workflows. The evidence shows users want both breadth (comprehensive coverage to avoid missing crucial details) and precision (custom notifications surfacing only high-priority updates). Sources also emphasize seamless workflow integration and mobile access, indicating alerts must reach users wherever they work.

Failure to deliver this creates two failure modes: users abandon the product because they miss actionable intelligence buried in generic feeds, or they experience alert fatigue from irrelevant notifications and disable them entirely. Both outcomes destroy engagement and retention.

More recommendations

7 additional recommendations generated from the same analysis

Add CSV and Excel export with column selection, defaulting to the 5-10 fields most frequently used in downstream financial models and client presentationsHigh impact · Small effort

While not explicitly mentioned in the themes, this capability is implicit in the workflow integration evidence. Sources describe analysts needing to integrate Diald insights into existing workflows without friction, and the product positions itself as delivering proforma inputs and vetted comps. These outputs only create value if users can transfer them into the financial models and pitch decks where investment decisions actually happen.

Launch a property monitoring dashboard showing real-time status indicators for all tracked addresses, with severity scoring for emerging risks and one-click drill-down to supporting evidenceHigh impact · Medium effort

The location-specific insights theme (22 sources) reveals users managing portfolios of properties need continuous visibility into neighborhood dynamics, construction projects, and regulatory changes across multiple locations. Sources describe regional managers spending significant time on manual research to track local events affecting their properties, and emphasize the need for real-time alerts on significant neighborhood changes.

Build deal scorecard comparison views that let users evaluate 3-5 properties side-by-side on key metrics (SWOT strengths/weaknesses, Probability of Success, regulatory risks, comps summary) with customizable weightingHigh impact · Medium effort

The deal evaluation theme (17 sources) shows users need to assess multiple deals quickly and identify which deserve deeper analysis. Sources describe investment professionals wanting to close smarter and faster, screen deals in hours not weeks, and identify landmines before spending time or capital. The competitive advantage theme emphasizes rapid identification of opportunities before competitors, requiring fast comparative analysis.

Expand the AI agent roster to include a community sentiment analyst that quantifies NIMBY risk, zoning approval probability, and political opposition using social media, public meeting transcripts, and local news sentimentMedium impact · Large effort

The comprehensive due diligence theme (17 sources, critical severity) highlights users need thorough risk assessment across regulatory, environmental, demographic, legal, and community factors. One source explicitly mentions tracking community activism, NIMBY movements, and local opposition as risk factors. The evidence shows media articles often lack context and nuance required for sound investment decisions, and users value expert-curated insights from trusted sources.

Create a deal memo collaboration workspace where team members can comment on specific sections, assign follow-up tasks, and track resolution of red flags identified by the SWOT analysisMedium impact · Medium effort

The deal evaluation theme shows users generating institutional-grade investment memos, SWOT analyses, and Probability of Success scores, but real estate investment is inherently collaborative. Sources describe investment bankers and professionals needing comprehensive due diligence support, suggesting teams review findings collectively before committing capital. The time savings theme emphasizes freeing analysts for strategic decision-making rather than information gathering, implying downstream collaboration on synthesized insights.

Build an insights API that lets users programmatically request property analyses and ingest results into internal deal management systems, with webhooks for completed reports and alert triggersMedium impact · Medium effort

The workflow integration theme emphasizes users need seamless integration without adding overhead, and sources describe professionals juggling competing priorities with little time for research. The institutional customer evidence shows users managing 320+ transactions across $20B in assets, suggesting they operate deal pipelines in dedicated CRM or transaction management systems.

Add a benchmarking module that compares a target property's performance metrics against historical deals in similar markets and asset classes, using data from the institutional customer baseMedium impact · Large effort

The deal evaluation theme shows users generating Probability of Success scores using historical data from similar conditions, and sources describe the Diald Score as a benchmark tool. The competitive advantage theme emphasizes users need to identify market gaps and emerging opportunities early, requiring context on how a deal compares to alternatives.

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.

Critical
12x
Moderate
8x

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.

High impactLow effort

PRDs, briefs, emails — on demand.

Generate documents that reference your actual research, not generic templates.

/prd/brief/email

Paste, upload, or connect.

Transcripts, CSVs, PDFs, screenshots, Slack, URLs.

.txt.csv.pdfSlackURL

This analysis used public data only. Imagine what Mimir finds with your customer interviews and product analytics.

Try with your data
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