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What Vela users actually want

Mimir analyzed 1 public source — app reviews, Reddit threads, forum posts — and surfaced 3 patterns with 6 actionable recommendations.

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Sources analyzed1 source
Signals extracted7 signals
Themes discovered3 themes
Recommendations6 recs

Top recommendation

AI-generated, ranked by impact and evidence strength

#1 recommendation

Build a time-savings dashboard that shows users exactly how many hours Vela has recovered each week

High impact · Small effort

Rationale

Users see thousands of meetings scheduled but lack a personal view of their own time recovered. Vela measures actual time saved post-deployment but doesn't surface this data to individual users in a way that reinforces value and drives retention. A dashboard showing weekly hours saved, meetings coordinated, and follow-ups eliminated would transform an abstract benefit into concrete proof.

This addresses the core positioning around returning professionals' most valuable resource while creating a retention mechanism. When users see "18 hours saved this month" they internalize Vela's value in business terms. For revenue growth, this data becomes a referral engine—users naturally share quantified wins with colleagues facing the same pain.

The dashboard also creates upsell opportunities by showing power users their exceptional usage patterns, making premium tiers or team licenses an easier conversation. Measuring time saved is already part of the product infrastructure, so surfacing it to users is primarily a front-end effort with outsized impact on both retention and organic growth.

Projected impact

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More recommendations

5 additional recommendations generated from the same analysis

Create a referral program triggered when users hit time-savings milestonesHigh impact · Medium effort

Vela users at McKinsey and BCG represent high-value professional networks where word-of-mouth carries exceptional weight. The product already tracks quantifiable time savings, creating natural moments when users feel genuine gratitude and are most likely to recommend. A milestone-triggered referral program captures this energy when it's strongest.

Expand scheduling automation to handle recurring meeting series and standing appointmentsHigh impact · Large effort

Vela handles individual meeting coordination comprehensively but professionals face another major time drain: managing recurring 1-on-1s, standing team meetings, and quarterly business reviews. These represent predictable scheduling overhead that multiplies the coordination burden. A partner maintaining monthly check-ins with 15 clients faces this same back-and-forth 180 times per year.

Build email signature and out-of-office integration that promotes Vela during natural scheduling friction pointsMedium impact · Small effort

Every scheduling negotiation is a demonstration of the problem Vela solves, yet current users don't leverage these moments for organic growth. When a Vela user's contact experiences the third round of "what about Thursday?" emails, they're primed to ask how to eliminate this friction. An email signature line like "Scheduled effortlessly with Vela" or an out-of-office auto-responder mentioning Vela scheduling turns every coordination into a micro-advertisement.

Develop vertical-specific templates for common meeting types in consulting, law, and business developmentMedium impact · Medium effort

Associates, lawyers, and business development professionals handle specialized meeting types with distinct patterns—discovery calls, client check-ins, pitch meetings, case reviews. Vela currently handles custom meeting preferences but doesn't offer pre-configured templates that match how these segments actually work. A McKinsey associate scheduling a client workshop has different needs than a BD professional booking a prospecting call.

Add team scheduling features that coordinate across multiple calendars for group meetingsMedium impact · Large effort

Individual scheduling automation is valuable but partners and directors often coordinate meetings involving multiple team members—case teams, client-facing groups, or project squads. This multiplies the coordination complexity exponentially as availability must align across more calendars. Vela handles multi-attendee meetings but doesn't yet optimize for internal team scheduling where the user needs to coordinate their own colleagues.

Insights

Themes and patterns synthesized from customer feedback

Quantifiable time savings validate core value proposition2 sources

Vela schedules thousands of meetings each week and measures actual time saved post-deployment rather than making fixed claims. This approach demonstrates genuine value delivery to users and provides data to support growth and retention claims.

“Vela schedules thousands of meetings each week across its user base”

Meeting coordination consumes significant professional time3 sources

Meeting coordination back-and-forth, timezone math, and calendar juggling consume significant hours that professionals never get back. This represents a core pain point that Vela is positioned to solve by returning professionals' most valuable resource: time.

“Meeting coordination back-and-forth, timezone math, and calendar juggling consume significant hours that professionals never get back”

Autonomous scheduling across multiple tasks and channels2 sources

Vela autonomously handles the full spectrum of scheduling coordination tasks—automatically following up, proposing times, booking, rescheduling, and sending confirmations—across Email, SMS, and WhatsApp. This end-to-end automation directly addresses the back-and-forth friction that consumes professional time.

“Vela autonomously handles multiple scheduling tasks: automatically follows up, proposes times, books, reschedules, and sends confirmations”

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+31%Monthly Active Users

Building a time-savings dashboard transforms Vela's abstract 50+ hours/month benefit into visible, personal proof of value. Users who see concrete weekly hour recovery will engage more consistently and churn less, directly supporting the primary growth metric of new users through improved retention and word-of-mouth.

Projected range
Baseline

AI-projected estimate over 6 months