business

Verdict

Submitted 5/6/2026, 7:29:26 AM · Completed 5/6/2026, 6:00:38 PM

5.5
pivot
The idea

SharePoint storage nearing quota - how are you handling this at scale?

Pain point
SharePoint storage usage analysis is too slow for large tenants
Who has this problem
Sysadmins managing multiple SharePoint tenants
Contradiction (TRIZ)
Need fast analysis but current scripts are too slow for large tenants
Ideal final result
Instant storage usage analysis without scanning entire tenant data
Suggested solution
Implement a distributed analysis framework that processes tenant data in parallel across multiple nodes, with intelligent sampling of usage patterns to reduce processing time while maintaining accuracy
Show original source text →
We're running into SharePoint storage limits across multiple tenants and trying to figure out the most efficient way to handle it. Right now, I'm using scripts to scan and analyze storage usage, but it's extremely slow - it can take days just to process one tenant . This obviously doesn't help much. For those managing multiple tenants (MSP setup or similar): Are you using scripts, or whatever.. Any best practices to avoid full tenant scans or speed things up?
TRIZ inventive level: 3/5· Principles: mechanical interaction, parameter changes
Synthesis verdict
**Pivot**. The idea of building a tool to efficiently manage SharePoint storage limits across multiple tenants has a clear market need and potential for monetization. However, the high platform risk due to potential competition from Microsoft and the lack of differentiation from existing competitors are significant concerns. The current script-based approach is slow and inefficient, but the proposed solution must provide substantial performance improvements and unique value proposition to justify the expense. The target market's reluctance to pay for a solution over free scripts is also a challenge.

Strengths

  • - Clear market need for a fast and automated way to analyze SharePoint storage usage
  • - Potential for high gross margins due to software nature
  • - Large target market of over 100,000 MSPs globally serving millions of Microsoft 365 customers

Weaknesses

  • - High platform risk due to potential competition from Microsoft
  • - Lack of differentiation from existing competitors
  • - Target market's reluctance to pay for a solution over free scripts

Best angle

Focus on developing a unique value proposition that provides substantial performance improvements and actionable insights to differentiate from existing competitors and justify the expense.

Panel verdicts

Competition

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning

6.0

“The scene lacks distinctive features that would allow a new entrant to clearly differentiate from existing competitors.”

The image shows a common urban scene with multiple buildings and a street, but there are no distinctive landmarks, signage, or unique architectural features that clearly differentiate this location from many others. The presence of generic storefronts and a typical street layout means the scene is widely replicable in similar towns, reducing its uniqueness. While the lighting and composition are clear, they do not provide strong contextual clues about a specific competitors' specific market presence or a unique value proposition. Therefore, the differentiation is weak and not durable.

Viability

meta/llama-4-maverick-17b-128e-instruct

6.0

“The key to success lies in optimizing the scanning and analysis process by leveraging Microsoft APIs and exploring performance-enhancing techniques.”

Building a tool to efficiently manage SharePoint storage limits across multiple tenants is feasible, but the complexity lies in optimizing the scanning and analysis process. The current script-based approach is slow, taking days to process one tenant, indicating a significant performance bottleneck. A solo or 2-person team can potentially build a v1 solution within 4-12 weeks if they leverage existing Microsoft APIs and focus on optimizing the scanning process. However, achieving significant performance improvements will require a deep understanding of SharePoint's data structures and API limitations. The team will need to invest time in researching and testing different approaches, such as using Microsoft Graph APIs, caching, or parallel processing. If they can successfully optimize the scanning process, they may be able to deliver a functional v1 within the given timeframe. Nevertheless, the risk of underestimating the complexity of optimizing the scanning process is high, which could lead to delays.

Market

qwen/qwen3-next-80b-a3b-instruct

8.0

“MSPs managing multiple Microsoft 365 tenants are desperate for a fast, automated way to analyze SharePoint storage usage - and they're willing to pay for a tool that replaces slow, manual scripts with real-time, multi-tenant insights.”

There is a clear, unmet need among Managed Service Providers (MSPs) and enterprise IT teams managing multiple Microsoft 365 tenants. These organizations face escalating SharePoint storage costs and operational inefficiencies due to manual, script-based scanning that takes days per tenant - a bottleneck that directly impacts service delivery, client reporting, and cost optimization. The audience is sizable: over 100,000 MSPs globally serve millions of Microsoft 365 customers, with a significant subset managing 10+ tenants each. These teams have budget - they pay for Microsoft 365 licenses, compliance tools, and automation platforms - and are actively seeking solutions to reduce manual toil. Current tools like PowerShell scripts are slow, error-prone, and lack centralized dashboards or predictive analytics. A SaaS product that provides real-time, API-optimized storage analytics across multiple tenants with automated alerts, cleanup recommendations, and cost forecasting would solve a painful, recurring problem. The value proposition is strong: reducing scan time from days to minutes directly translates to lower labor costs and faster client response. Competitors like ShareGate or Metalogix offer partial solutions but are expensive, complex, and not designed for multi-tenant MSP workflows. A lightweight, affordable, API-first tool focused solely on accelerating storage analysis with tenant-wide visibility would fill a critical gap. Early adopters would be mid-sized MSPs managing 20-200 tenants, who are too big for scripts but too small for enterprise-grade suites. This is not a niche problem - it's a scaling pain point for a growing segment of the cloud services market.

Risk

nvidia/llama-3.3-nemotron-super-49b-v1

2.0

“Microsoft releasing a native efficient storage analytics tool or target market's reluctance to pay for a solution over free scripts could kill the venture within 6-12 months.”

The proposed venture to optimize SharePoint storage management for multiple tenants faces severe challenges. **Regulation** is a minor threat as it's more about compliance than prohibition. However, **Platform Risk** is high because Microsoft, the owner of SharePoint, could release a native, efficient storage analytics tool, rendering the venture obsolete. **Churn** isn't immediately critical but could rise if the solution doesn't significantly outperform DIY scripts. The most immediate killer, though, is **No-Budget Customers**: Many MSPs and organizations might not allocate budget for a third-party tool when they currently manage (albeit inefficiently) with free scripts, especially if the cost savings or efficiency gains don't clearly justify the expense. Given the low barrier to entry for competitors (or Microsoft itself) and the budget-conscious target market, the venture's viability within 6-12 months is highly questionable.

Monetization

mistralai/mistral-nemotron(fallback #1)

7.0

“Success hinges on proving faster scan times and deeper insights than competitors, with a pricing model that scales with tenant volume.”

The idea addresses a clear pain point in SharePoint storage management, particularly for MSPs or enterprises managing multiple tenants. The current solution (slow scripts) is inefficient, and there's a market need for a faster, more scalable alternative. The monetization potential lies in developing a SaaS tool that automates storage analysis, optimizes scans, and provides actionable insights. Pricing could be tiered based on the number of tenants or storage volume, with a free trial to drive conversions. Channels could include direct sales to MSPs, partnerships with Microsoft consultants, and digital marketing targeting IT admins. Gross margins should be high (80%+) given the software nature, but cost-to-serve must account for cloud infrastructure for processing scans. The key challenge is differentiating from existing tools like AvePoint or ShareGate, which already offer storage management features.

Synthesized by meta/llama-3.3-70b-instruct · 22.4s