What Verata users actually want
Mimir analyzed 15 public sources — app reviews, Reddit threads, forum posts — and surfaced 15 patterns with 7 actionable recommendations.
Top recommendation
AI-generated, ranked by impact and evidence strength
Build systematic relationship sourcing infrastructure with coverage mapping, team assignment, and attribution tracking
Rationale
PE firms consistently describe deal sourcing as opportunistic rather than systematic. Business development leaders cannot answer fundamental questions about relationship coverage gaps by sector and geography, who should reach which targets, or which relationships actually drive pipeline. Traditional CRMs track deals but miss the relationship layer that generates them, creating blind spots in sourcing attribution and optimization.
The evidence shows firms achieving 40% proprietary flow increases and closing $200M+ deals through Verata-discovered paths, but the current product lacks workflow infrastructure to make this repeatable. Without the ability to assign relationship targets by proximity, track outreach progress, and measure which relationship types convert to deals, firms cannot optimize their competitive advantage. One managing partner captured this: firms with the best outcomes aren't those with the biggest networks but those who can see and activate networks most effectively.
This infrastructure would transform sourcing from a black box into an optimizable system. Business development teams need pipeline visibility showing relationship paths alongside deal stages, coverage heat maps by sector, and attribution reporting that proves which relationships drive which outcomes. This directly addresses the stated business goal of increasing user engagement and retention by making the platform essential to daily sourcing operations rather than periodic research.
More recommendations
6 additional recommendations generated from the same analysis
PE professionals spend 30+ minutes to hours daily toggling between LinkedIn, PitchBook, Crunchbase, and Google for basic research tasks. Associates report dreading market map requests that take 8-15 hours of manual spreadsheet building. One VP said research that previously took a full day now takes 1-2 hours, and time to pull company basics dropped from 45-60 minutes to 5 minutes. This fragmentation creates cognitive load, context-switching friction, and misallocates senior talent to mechanical work.
Traditional hiring relies on biased candidate-provided references and search firms with inherent conflicts of interest to close placements rather than surface concerns. One talent partner reported Verata avoided a costly hiring mistake by finding a backchannel that saved 18 months and prevented a failed placement. Another said search firms hate that firms can now verify what they're told. Manual reference finding currently takes 2-3 hours per executive to identify former colleagues and contact info.
IR teams cannot see relationship paths their firm already has to target LPs, and family offices are the fastest-growing LP segment but hardest to identify and reach. One firm closed their last raise 4 months faster than the previous fund, attributing the difference to knowing exactly who to reach through which relationships. Another discovered 40+ family office connections they didn't know existed. Meeting conversion rates improve measurably when using relationship intelligence versus cold outreach.
Portfolio companies closed $500M+ in deals through Verata-discovered relationships, and an operating partner at a $5B AUM firm reported $20M added to exit valuation from a single customer introduction. Portfolio CEOs constantly ask for customer introductions but finding relationship paths is ad hoc and inefficient. Mid-market firms sourced 3 add-on acquisitions in the first year, all proprietary and at better multiples than market. Board placements are 60% faster using Verata versus traditional search firm approaches.
Private company revenue data is limited or unavailable in existing tools, forcing deal teams to operate with incomplete information. Users report walking into meetings knowing revenue estimates, headcount trajectory, and leadership connections that were previously invisible. The combination of relationship mapping and private company data is described as unique—no other tool gives both in one place built specifically for PE.
Most firms discover actionable relationship paths within the first week of trial, with some finding paths to four active targets within three days. One user said within the first three days they found paths to four companies on their active target list and the ROI was obvious. Trial users report going from skeptical to paying customers who cannot imagine sourcing without the platform. The demo sells immediately when it shows paths to three companies on the user's active list that they had no idea existed.
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Onboarding confusion appears in 12 of 16 sources. Users describe “not knowing where to start” [Interview #3, NPS]
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